Network resource management mechanisms in SDN enabled WSNs: A comprehensive review

Avestimehr, 2011, Wireless network information flow: A deterministic approach, IEEE Trans. Inform. Theory, 57, 1872, 10.1109/TIT.2011.2110110 Al-Ali, 2005, Wireless smart sensors networks overview, 536 Healy, 2008, Wireless sensor node hardware: A review, 621 Al-Karaki, 2012, A survey on sensor network, 650 Sudevalayam, 2011, Energy harvesting sensor nodes: Survey and implications, IEEE Commun. Surv. Tutor., 13, 443, 10.1109/SURV.2011.060710.00094 Ali, 2017, A comprehensive survey on real-time applications of WSN, Future Internet, 9, 77, 10.3390/fi9040077 Yick, 2008, Wireless sensor network survey, Comput. Netw., 52, 2292, 10.1016/j.comnet.2008.04.002 Rawat, 2014, Wireless sensor networks: A survey on recent developments and potential synergies, J. Supercomput., 68, 1, 10.1007/s11227-013-1021-9 Li, 2017, A survey of network update in SDN, Springer, 11, 4 Hu, 2014, A survey on software-defined network and OpenFlow: From concept to implementation, IEEE Commun. Surv. Tutor., 16, 2181, 10.1109/COMST.2014.2326417 Xu, 2019, Software defined mission-critical wireless sensor network: Architecture and edge offloading strategy, IEEE Access, 7, 10383, 10.1109/ACCESS.2019.2890854 Miyazaki, 2014, A software defined wireless sensor network, 847 Han, 2014, A novel wireless sensor networks structure based on the SDN, Int. J. Distrib. Sens. Netw., 10, 10.1155/2014/874047 Fogli, 2022, Software-defined networking in wireless ad hoc scenarios: Objectives and control architectures, J. Netw. Comput. Appl., 10.1016/j.jnca.2022.103387 Zhang, 2018, A survey on software defined networking with multiple controllers, J. Netw. Comput. Appl., 103, 101, 10.1016/j.jnca.2017.11.015 Lara, 2014, Network innovation using open flow: A survey, IEEE Commun. Surv. Tutor., 16, 493, 10.1109/SURV.2013.081313.00105 Suzuki, 2014, A survey on openflow technologies, IEICE Trans. Commun., E97-B, 375, 10.1587/transcom.E97.B.375 Friedman, 2017, An architecture for SDN based sensor networks, 1 Nunez Segura, 2021, Centralized energy prediction in wireless sensor networks leveraged by software-defined networking, Energies, 14, 5379, 10.3390/en14175379 Kadel, 2017, Adaptive error control code implementation framework for software defined wireless sensor network (SDWSN), 1 Kobo, 2019, Fragmentation-based distributed control system for software-defined wireless sensor networks, IEEE Trans. Ind. Inform., 15, 901, 10.1109/TII.2018.2821129 Roy, 2021, Leveraging periodicity to improve quality of service in mobile software defined wireless sensor networks, 1 Singh, 2020, A threshold-based optimization energy-efficient routing technique in heterogeneous wireless sensor networks, 203 Hadjidj, 2013, Wireless sensor networks for rehabilitation applications: Challenges and opportunities, J. Netw. Comput. Appl., 36, 1, 10.1016/j.jnca.2012.10.002 Rojas, 2018, Are we ready to drive software-defined networks? A comprehensive survey on management tools and techniques, ACM Comput. Surv., 51, 1, 10.1145/3165290 Zhu, 2020, SDN controllers: A comprehensive analysis and performance evaluation study, ACM Comput. Surv., 53, 1, 10.1145/3421764 Benzekki, 2016, Software-defined networking (SDN): a survey, Secur. Commun. Netw., 9, 5803, 10.1002/sec.1737 Yang, 2014, Opportunistic spectrum sharing in software defined wireless network, J. Syst. Eng. Electron., 25, 934, 10.1109/JSEE.2014.00107 Cisco.com, 2020 Global Networking Trends Report, Online Available at: https://www.cisco.com/c/m/en_us/solutions/enterprise-networks/networking-report.html. 2021 Jagadeesan, 2014, Software-defined networking paradigms in wireless networks: A survey, ACM Comput. Surv., 47, 10.1145/2655690 Tso, 2016, Network and server resource management strategies for data centre infrastructures: A survey, Comput. Netw., 106, 209, 10.1016/j.comnet.2016.07.002 Bera, 2017, Software-defined networking for internet of things: A survey, IEEE Internet Things J., 4, 1994, 10.1109/JIOT.2017.2746186 Li, 2020, An effective edge-assisted data collection approach for critical events in the SDWSN-based agricultural internet of things, Electron., 9 Liang, 2015, Wireless virtualization for next generation mobile cellular networks, IEEE Wirel. Commun., 22, 61, 10.1109/MWC.2015.7054720 Luo, 2018, Software-defined architectures and technologies for underwater wireless sensor networks: A survey, IEEE, 20 Pritchard, 2017, Security in software-defined wireless sensor networks: Threats, challenges and potential solutions, 168 Sejaphala, 2020, The design of a defense mechanism to mitigate sinkhole attack in software defined wireless sensor cognitive radio networks, Wirel. Pers. Commun., 113, 977, 10.1007/s11277-020-07263-9 Miranda, 2020, A collaborative security framework for software-defined wireless sensor networks, IEEE Trans. Inf. Forensics Secur., 15, 2602, 10.1109/TIFS.2020.2973875 Latif, 2020, A comprehensive survey of interface protocols for software defined networks, J. Netw. Comput. Appl., 156 Singh, 2022, Evaluating heuristic techniques as a solution of controller placement problem in SDN, J. Ambient Intell. Humaniz. Comput., 1, 1 Huebner, 2013, Long-range wireless sensor networks with transmit-only nodes and software-defined receivers, Wirel. Commun. Mob. Comput., 13, 1499, 10.1002/wcm.1198 Amini, 2019, Improving lifetime of wireless sensor network based on sinks mobility and clustering routing, Wirel. Pers. Commun., 109, 2011, 10.1007/s11277-019-06665-8 Nisar, 2020, A survey on the architecture, application, and security of software defined networking: Challenges and open issues, Internet Things, 12, 10.1016/j.iot.2020.100289 Zeng, 2013, Evolution of software-defined sensor networks, 410 Miguel, 2018, SDN architecture for 6LoWPAN wireless sensor networks, Sensors (Switzerland), 18, 10.3390/s18113738 Huang, 2019, LCD: Light-weight control model for data plane in software-defined wireless sensor networks, Trans. Emerg. Telecommun. Technol., 30 Karakus, 2017, Quality of Service (QoS) in Software Defined Networking (SDN): A survey, J. Netw. Comput. Appl., 80, 200, 10.1016/j.jnca.2016.12.019 Galluccio, 2015, Reprogramming wireless sensor networks by using SDN-WISE: A hands-on demo, 19 Trois, 2016, A survey on SDN programming languages: Toward a taxonomy, IEEE Commun. Surv. Tutor., 18, 2687, 10.1109/COMST.2016.2553778 Buzura, 2020, Self-adaptive fuzzy QoS algorithm for a distributed control plane with application in SDWSN, 1 Chen, 2020, Multi-task mapping and resource allocation mechanism in software defined sensor networks, 32 Mishra, 2022, An evolutionary computing-based energy-efficient solution for IoT-enabled software-defined sensor network architecture, Int. J. Commun. Syst., 10.1002/dac.5111 Moazzeni, 2018, On reliability improvement of software-defined networks, Comput. Netw., 133, 195, 10.1016/j.comnet.2018.01.023 Kobo, 2017, A survey on software-defined wireless sensor networks: Challenges and design requirements, IEEE Access, 5, 1872, 10.1109/ACCESS.2017.2666200 Sood, 2016, Software-defined wireless networking opportunities and challenges for internet-of-things: A review, IEEE Internet Things J., 3, 453, 10.1109/JIOT.2015.2480421 Ndiaye, 2017, Software defined networking for improved wireless sensor network management: A survey, Sensors (Switzerland), 17, 1, 10.3390/s17051031 Letswamotse, 2018, Software defined wireless sensor networks (SDWSN): A review on efficient resources, applications and technologies, J. Internet Technol., 19, 1303 Mostafaei, 2018, Software-defined wireless sensor networks: A survey, J. Netw. Comput. Appl., 119, 42, 10.1016/j.jnca.2018.06.016 Modieginyane, 2018, Software defined wireless sensor networks application opportunities for efficient network management: A survey, Comput. Electr. Eng., 66, 274, 10.1016/j.compeleceng.2017.02.026 Bukar, 2021, Architectural design, improvement, and challenges of distributed software-defined wireless sensor networks, Wirel. Pers. Commun., 1 Krüger, 2020, Search. Review. Repeat? An empirical study of threats to replicating SLR searches, Empir. Softw. Eng., 25, 627, 10.1007/s10664-019-09763-0 Neghabi, 2018, Load balancing mechanisms in the software defined networks: A systematic and comprehensive review of the literature, IEEE Access, 6, 14159, 10.1109/ACCESS.2018.2805842 C, 2020, Scheduled optimal SDWSN using wireless transfer of power, IRO J. Sustain. Wirel. Syst., 2, 23, 10.36548/jsws.2020.1.003 Ahmed, 2018, A novel framework for software defined wireless sensor networks, 1 Luo, 2012, Sensor openflow: Enabling software-defined wireless sensor networks, IEEE Commun. Lett., 16, 1896, 10.1109/LCOMM.2012.092812.121712 De Gante, 2014, Smart wireless sensor network management based on software-defined networking, 71 Galluccio, 2015, SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks, 513 Flauzac, 2015, SDN based architecture for clustered WSN, 342 de Oliveira, 2016, TinySDN: Enabling tinyOS to software-defined wireless sensor networks, 229 Cao, 2016, TinySDM: Software defined measurement in wireless sensor networks, 1 Alves, 2017, IT-SDN: Improved architecture for SDWSN, 1 Bera, 2018, Soft-WSN: Software-defined WSN management system for IoT applications, IEEE Syst. J., 12, 2074, 10.1109/JSYST.2016.2615761 Anadiotis, 2019, SD-WISE : A Software-Defined WIreless SEnsor network R, Comput. Netw., 159, 84, 10.1016/j.comnet.2019.04.029 Hawbani, 2020, Novel architecture and heuristic algorithms for software-defined wireless sensor networks, IEEE/ACM Trans. Netw., 28, 2809, 10.1109/TNET.2020.3020984 Galluccio, 2015, SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks, 513 L. Zhu, M. Karim, K. Sharif, C. Xu, F.A.N. Li, SDN controllers : A comprehensive analysis and performance evaluation study, 53 (6) (2020). Wang, 2016, An energy-efficient SDN based sleep scheduling algorithm for WSNs, J. Netw. Comput. Appl., 59, 39, 10.1016/j.jnca.2015.05.002 Torkzadeh, 2021, Energy-aware routing considering load balancing for SDN: a minimum graph-based Ant Colony Optimization, Cluster Comput., 24, 2293, 10.1007/s10586-021-03263-x Mathebula, 2020, Analysis of energy-efficient techniques for SDWSN energy usage optimization, 102 Shah, 2019, Water rippling shaped clustering strategy for efficient performance of software define wireless sensor networks, Peer-to-Peer Netw. Appl., 12, 371, 10.1007/s12083-017-0591-3 Sixu, 2020, SDFMUCR: Software-defined and fuzzy-based multi-hop unequal cluster routing, Int. J. Distrib. Sens. Netw., 16, 10.1177/1550147720962996 Liu, 2019, CluFlow: Cluster-based flow management in software-defined wireless sensor networks Gude, 2008, NOX: towards an operating system for networks, ACM SIGCOMM Comput. Commun. Rev., 38, 105, 10.1145/1384609.1384625 POX, 2018 Atlassian, 2016 Linux Foundation, 2018 Berde, 2014, ONOS: Towards an open, distributed SDN OS, 1 RYU SDN Framework Community, 2017 Fernández, 2018, Software defined networks in wireless sensor architectures, Entropy, 20, 225, 10.3390/e20040225 Vinod, 2017, Centralized controllers of SDN and its problem spaces, Int. J. Appl. Eng. Res., 12, 7638 Oktian, 2017, Distributed SDN controller system: A survey on design choice, Comput. Netw., 121, 100, 10.1016/j.comnet.2017.04.038 Bannour, 2018, Distributed SDN control: Survey, taxonomy, and challenges, IEEE Commun. Surv. Tutor., 20, 333, 10.1109/COMST.2017.2782482 Karakus, 2017, A survey: Control plane scalability issues and approaches in Software-Defined Networking (SDN), Comput. Netw., 112, 279, 10.1016/j.comnet.2016.11.017 Salman, 2016, SDN controllers: A comparative study, 1 Modieginyane, 2019, Flexible network management and application service adaptability in software defined wireless sensor networks, J. Ambient Intell. Humaniz. Comput., 10, 1621, 10.1007/s12652-018-0766-7 Buzura, 2021, Using software-defined networking technology for delivering software updates to wireless sensor networks, 1 Letswamotse, 2018, Software defined wireless sensor networks and efficient congestion control, IET Netw., 7, 460, 10.1049/iet-net.2018.5122 Flauzac, 2020, An SDN approach to route massive data flows of sensor networks, Int. J. Commun. Syst., 33, 1, 10.1002/dac.4309 Kobo, 2019, Efficient controller placement and reelection mechanism in distributed control system for software defined wireless sensor networks, Trans. Emerg. Telecommun. Technol., 30 Letswamotse, 2020, Adaptable QoS provisioning for efficient traffic-to-resource control in software defined wireless sensor networks, J. Ambient Intell. Humaniz. Comput., 11, 2397, 10.1007/s12652-019-01263-9 Rahimifar, 2020, Predicting the energy consumption in software defined wireless sensor networks: a probabilistic Markov model approach, J. Ambient Intell. Humaniz. Comput., 1, 3 Tan, 2019, QSDN-WISE: A new QoS-based routing protocol for software-defined wireless sensor networks, IEEE Access, 7, 61070, 10.1109/ACCESS.2019.2915957 Orozco-Santos, 2021, Enhancing SDN WISE with slicing over TSCH, Sensors, 21, 1075, 10.3390/s21041075 Banerjee, 2018, SD-EAR: Energy aware routing in software defined wireless sensor networks, Appl. Sci., 8, 10.3390/app8071013 Ndiaye, 2020, SDNMM - A generic SDN-based modular management system for wireless sensor networks, IEEE Syst. J., 14, 2347, 10.1109/JSYST.2019.2927946 Chaurasia, 2019, Performance evaluation of software-defined wireless networks in IT-SDN and Mininet-WiFi, 315 Tripathi, 2019, A simulation based study to identify optimal number of controllers for multi-application scenarios in Software Defined Wireless Sensor Network (SDWSN) Isong, 2020, Comprehensive review of SDN controller placement strategies, IEEE Access, 8, 170070, 10.1109/ACCESS.2020.3023974 Heller, 2012, The controller placement problem, ACM SIGCOMM Comput. Commun. Rev., 42, 473, 10.1145/2377677.2377767 Shirmarz, 2021, Taxonomy of controller placement problem (CPP) optimization in Software Defined Network (SDN): a survey, J. Ambient Intell. Humaniz. Comput., 1, 1 Mamushiane, 2018, Given a SDN topology, how many controllers are needed and where should they go?, 1 De Oliveira, 2015, TinySDN: Enabling multiple controllers for software-defined wireless sensor networks, IEEE Lat. Am. Trans., 13, 3690, 10.1109/TLA.2015.7387950 Lan, 2018, Design and implementation of flow-based programmable nodes in software-defined sensor networks, 734 Huang, 2021, A new topology control algorithm in software defined wireless rechargeable sensor networks, IEEE Access, 9, 101003, 10.1109/ACCESS.2021.3096793 Banerjee, 2021, Smart-Green-Mult (SGM): overhear from topological kingpins in software defined wireless sensor networks, J. Ambient Intell. Humaniz. Comput., 12, 387, 10.1007/s12652-020-01984-2 Kipongo, 2022, Efficient topology discovery protocol using IT-SDN for software-defined wireless sensor network, Bull. Electr. Eng. Inform., 11, 256, 10.11591/eei.v11i1.3240 Wazirali, 2021, SDN-OpenFlow topology discovery: An overview of performance issues, Appl. Sci., 11, 6999, 10.3390/app11156999 Basta, 2018, Efficient loop-free rerouting of multiple SDN flows, IEEE/ACM Trans. Netw., 26, 948, 10.1109/TNET.2018.2810640 Cloete, 2019, Comparison of localisation estimation algorithms in software defined wireless sensor networks, 1556 Rehman, 2018, Spanning tree protocol for preventing loops and saving energy in software defined networks along with its vulnerability and threat analyses, Adv. Intell. Syst. Comput., 857, 1166, 10.1007/978-3-030-01177-2_84 Kipongo, 2018, Topology discovery protocol for software defined wireless sensor network: Solutions and open issues, 1282 Tian, 2018, Design and analysis of software-defined wireless sensor network based on mobile agent topology discovery, 916 Theodorou, 2017, Software defined topology control strategies for the internet of things, 236 Geng, 2021, An energy-efficient hierarchical topology control algorithm in software-defined wireless sensor network, 1 Saqib, 2019, A critical review on security approaches to software-defined wireless sensor networking, Int. J. Distrib. Sens. Netw., 15, 10.1177/1550147719889906 Alotaibi, 2021, Linking handover delay to load balancing in SDN-based heterogeneous networks, Comput. Commun., 173, 170, 10.1016/j.comcom.2021.04.001 Khan, 2017, Topology discovery in software defined networks: Threats, taxonomy, and state-of-the-art, IEEE Commun. Surv. Tutor., 19, 303, 10.1109/COMST.2016.2597193 Silva, 2014, Mobility in wireless sensor networks – Survey and proposal, Comput. Commun., 52, 1, 10.1016/j.comcom.2014.05.008 Wang, 2018, Mobility management for 6LoWPAN WSN, Comput. Netw., 131, 110, 10.1016/j.comnet.2017.12.005 Nevala, 2016 Roy, 2021, Adaptive motif-based topology control in mobile software defined wireless sensor networks, 1 Theodorou, 2021, SD-MIoT: A software-defined networking solution for mobile internet of things, IEEE Internet Things, 8, 4604, 10.1109/JIOT.2020.3027427 Cao, 2021, A novel method of mobility-based clustering protocol in software defined sensor network, EURASIP J. Wireless Commun. Networking, 2021, 1, 10.1186/s13638-021-01927-1 Lo Bello, 2018, Software-defined networking for dynamic control of mobile industrial wireless sensor networks, 290 Kumar, 2021, Opt-ACM: An Optimized load balancing based Admission Control Mechanism for Software Defined Hybrid Wireless based IoT (SDHW-IoT) network, Comput. Netw., 188, 10.1016/j.comnet.2021.107888 Hajian, 2022, A mechanism for load balancing routing and virtualization based on SDWSN for IoT applications, IEEE Access, 10, 37457, 10.1109/ACCESS.2022.3164693 Wenxing, 2021 Thupae, 2018, Machine learning techniques for traffic identification and classifiacation in SDWSN: A survey, 4645 Khan, 2021, Congestion avoidance in wireless sensor network using software defined network, Computing, 103, 2573, 10.1007/s00607-021-01010-z Semong, 2020, Intelligent load balancing techniques in software defined networks: A survey, Electronics, 9, 1091, 10.3390/electronics9071091 Din, 2019, Energy efficient topology management scheme based on clustering technique for software defined wireless sensor network, Peer-to-Peer Netw. Appl., 12, 348, 10.1007/s12083-017-0607-z Kobo, 2017, Towards a distributed control system for software defined Wireless Sensor Networks, 6125 Alves, 2019, The cost of software-defining things: A scalability study of software-defined sensor networks, IEEE Access, 7, 115093, 10.1109/ACCESS.2019.2936127 Qaisar, 2022, SDORP: SDN based opportunistic routing for asynchronous wireless sensor networks, IEEE Trans. Mob. Comput. Kamble, 2021, Systematic analysis and review of path optimization techniques in WSN with mobile sink, Comput. Sci. Rev., 41, 10.1016/j.cosrev.2021.100412 Haque, 2016, Wireless software defined networking: A survey and taxonomy, IEEE Commun. Surv. Tutor., 18, 2713, 10.1109/COMST.2016.2571118 Younus, 2019, Proposition and real-time implementation of an energy-aware routing protocol for a software defined wireless sensor network, Sensors, 19, 2739, 10.3390/s19122739 Wang, 2018, ETMRM: An energy-efficient trust management and routing mechanism for SDWSNs, Comput. Netw., 139, 119, 10.1016/j.comnet.2018.04.009 Samarji, 2021, ESRA: Energy soaring-based routing algorithm for IoT applications in software-defined wireless sensor networks, Egypt. Inform. J. Azzouni, 2017, Limitations of openflow topology discovery protocol, 1 Rault, 2014, Energy efficiency in wireless sensor networks: A top-down survey, Comput. Netw., 67, 104, 10.1016/j.comnet.2014.03.027 Shiny, 2022, Control message quenching-based communication protocol for energy management in SDWSN, IEEE Trans. Netw. Serv. Manag., 1 Banerjee, 2021, Minimum energy transmission forest-based geocast in software-defined wireless sensor networks, Trans. Emerg. Telecommun. Technol., 32 Abdo, 2018, Enhanced routing algorithm based on depth traversal in software defined wireless sensor networks, 1 Jurado-Lasso, 2021, Energy-aware routing for software-defined multihop wireless sensor networks, IEEE Sens. J., 21, 10174, 10.1109/JSEN.2021.3059789 R. Kumar, 2021, EOMCSR: An energy optimized multi-constrained sustainable routing model for SDWSN, IEEE Trans. Netw. Serv. Manag., 1 Amin, 2018, Hybrid SDN networks: A survey of existing approaches, IEEE Commun. Surv. Tutor., 20, 3259, 10.1109/COMST.2018.2837161 Manisekaran, 2016, An analysis of software-defined routing approach for wireless sensor networks, Comput. Electr. Eng., 56, 456, 10.1016/j.compeleceng.2016.06.017 Bin-Yahya, 2022, Secure and energy-efficient network topology obfuscation for software-defined WSNs, IEEE Internet Things J. Shiny, 2021, Repeated game theory-based reducer selection strategy for energy management in SDWSN, Comput. Netw., 193, 10.1016/j.comnet.2021.108094 Aljohani, 2021, MPResiSDN: Multipath resilient routing scheme for SDN-enabled smart cities networks, Appl. Sci., 11, 1900, 10.3390/app11041900 Sayjari, 2021, Control and data traffic isolation in SDWSN using IEEE 802.15.4e TSCH, 126 Jurado-Lasso, 2019, Performance analysis of software-defined multihop wireless sensor networks, IEEE Syst. J., 14, 4653, 10.1109/JSYST.2019.2948203 Huang, 2015, Energy-efficient monitoring in software defined wireless sensor networks using reinforcement learning: A prototype, Int. J. Distrib. Sens. Netw., 2015 Misra, 2018, Situation-aware protocol switching in software-defined wireless sensor network systems, IEEE Syst. J., 12, 2353, 10.1109/JSYST.2017.2774284 Younus, 2021, Improving the software defined wireless sensor networks routing performance using reinforcement learning, IEEE Internet Things J. Younus, 2021, Optimizing the lifetime of software defined wireless sensor network via reinforcement learning, IEEE Access, 9, 259, 10.1109/ACCESS.2020.3046693 Jurado-Lasso, 2022, A survey on machine learning software-defined wireless sensor networks (ML-SDWSNs): Current status and major challenges, IEEE Access, 10, 23560, 10.1109/ACCESS.2022.3153521 Kaushik, 2021, Classification of quality of granary using machine learning based on software-defined wireless sensor network, 652 Zhang, 2018, Q-Placement: Reinforcement-learning-based service placement in software-defined networks, 1527 Amin, 2021, A survey on machine learning techniques for routing optimization in SDN, IEEE Access, 9, 104582, 10.1109/ACCESS.2021.3099092 Huang, 2022, Deep graph reinforcement learning based intelligent traffic routing control for software-defined wireless sensor networks, Appl. Sci., 12, 1951, 10.3390/app12041951 Ananth, 2019, A dynamic technique to enhance quality of service in software-defined network-based wireless sensor network (DTEQT) using machine learning, Int. J. Wavelets Multiresolut. Inf. Process., 18, 10.1142/S0219691319410200 Singh, 2022, Towards metaheuristic scheduling techniques in cloud and fog: An extensive taxonomic review, ACM Comput. Surv., 55, 1, 10.1145/3494520 Ramteke, 2020, Particle swarm optimization and genetic mutation based routing technique for IoT-based homogeneous software-defined WSNs, Lect. Notes Electr. Eng., 701, 137, 10.1007/978-981-15-8297-4_12 Sixu, 2022, Particle swarm optimization and artificial bee colony algorithm for clustering and mobile based software-defined wireless sensor networks, Wirel. Netw., 28, 1671, 10.1007/s11276-022-02925-x Xiang, 2016, An energy-efficient routing algorithm for software-defined wireless sensor networks, IEEE Sens. J., 16, 7393, 10.1109/JSEN.2016.2585019 Kumar, 2018, A green routing algorithm for IoT-enabled software defined wireless sensor network, IEEE Sens. J., 18, 9449, 10.1109/JSEN.2018.2869629 Masood, 2019, Energy efficient software defined networking algorithm for wireless sensor networks, Transp. Res. Procedia, 40, 1481, 10.1016/j.trpro.2019.07.205 Zeng, 2020, An efficient neural network optimized by fruit fly optimization algorithm for user equipment association in software-defined wireless sensor network, Int. J. Netw. Manag., 30, 10.1002/nem.2135 Mishra, 2021, A meta-heuristic-based green-routing algorithm in software-defined wireless sensor network, 36 Chaudhry, 2021, A multi-objective meta-heuristic solution for green computing in software-defined wireless sensor networks, IEEE Trans. Green Commun. Netw. Ramteke, 2022, Optimized routing technique for IoT enabled software-defined heterogeneous WSNs using genetic mutation based PSO, Comput. Stand. Interfaces, 79, 10.1016/j.csi.2021.103548 Li, 2018, Traffic load minimization in software defined wireless sensor networks, IEEE Internet Things J., 5, 1370, 10.1109/JIOT.2018.2797906 Jurado-Lasso, 2020, A software-defined management system for IP-enabled WSNs, IEEE Syst. J., 14, 2335, 10.1109/JSYST.2019.2946781 Buzura, 2020, Optimizations for energy efficiency in software-defined wireless sensor networks, Sensors (Switzerland), 20, 10.3390/s20174779 Ding, 2020, Energy-efficient relay-selection-based dynamic routing algorithm for IoT-oriented software-defined WSNs, IEEE Internet Things J., 7, 9050, 10.1109/JIOT.2020.3002233 Suja Golden Shiny, 2021, TSDN-WISE: Automatic Threshold based low control-flow communication protocol for SDWSN, IEEE Sens. J., 21, 1 Zeng, 2015, Energy minimization in multi-task software-defined sensor networks, IEEE Trans. Comput., 64, 3128, 10.1109/TC.2015.2389802 Cui, 2019, A load balancing routing mechanism based on SDWSN in smart city, Electron., 8 Banerjee, 2021, Design of a fuzzy-controlled energy-efficient multicast scheduler (FEMS) for SDWSN, J. Inf. Technol. Manag., 13, 111 Assefa, 2019, A survey of energy efficiency in SDN: Software-based methods and optimization models, J. Netw. Comput. Appl., 137, 127, 10.1016/j.jnca.2019.04.001 Giroire, 2014, Optimizing rule placement in software-defined networks for energy-aware routing, 2523 Nguyen, 2016, Rules placement problem in OpenFlow networks: A survey, IEEE Commun. Surv. Tutor., 18, 1273, 10.1109/COMST.2015.2506984 Kumar, 2022, Flow rule-based routing protocol management system in software-defined IoT sensor network for IoT applications, Int. J. Commun. Syst., 10.1002/dac.5182 Awan, 2019, An improved mechanism for flow rule installation in-band SDN, J. Syst. Archit., 96, 1, 10.1016/j.sysarc.2019.01.016 Luo, 2015, Practical flow table aggregation in SDN, Comput. Netw., 92, 72, 10.1016/j.comnet.2015.09.016 Bifulco, 2015, Towards scalable SDN switches: Enabling faster flow table entries installation, ACM SIGCOMM Comput. Commun. Rev., 45, 343, 10.1145/2829988.2790008 Ahmed, 2021, Flow installation mechanisms in SDN, WSEAS Trans. Commun., 20, 101, 10.37394/23204.2021.20.12 Bera, 2019, FlowStat: Adaptive flow-rule placement for per-flow statistics in SDN, IEEE J. Sel. Areas Commun., 37, 530, 10.1109/JSAC.2019.2894239 Dusi, 2014, Reactive logic in software-defined networking: Measuring flow-table requirements, 340 Rzepka, 2020, PARD: Hybrid proactive and reactive method eliminating flow setup latency in SDN, J. Netw. Syst. Manag., 28, 1547, 10.1007/s10922-020-09550-z Aslam, 2017, SACFIR: SDN-based application-aware centralized adaptive flow iterative reconfiguring routing protocol for WSNs, Sensors, 17, 2893, 10.3390/s17122893 Cai, 2021, Dynamic adjustment for proactive flow installation mechanism in SDN-based IoT, Comput. Netw., 194, 10.1016/j.comnet.2021.108167 Liu, 2021, Cluster-based flow control in hybrid software-defined wireless sensor networks, Comput. Netw., 187, 10.1016/j.comnet.2020.107788 Nasir, 2020, Qualitative analysis of hybrid flow installation mechanism in software defined networks (SDN), Wirel. Pers. Commun., 116, 3413, 10.1007/s11277-020-07859-1 Randhawa, 2017, Data aggregation in wireless sensor networks: Previous research, current status and future directions, Wirel. Pers. Commun., 97, 3355, 10.1007/s11277-017-4674-5 Egidius, 2019, Data aggregation in software-defined wireless sensor networks: A review, 1749 Lalitha, 2021, An energy-efficient routing with particle swarm optimization and aggregate data for IOT-enabled software-defined networks, vol. 185, 105, 10.1007/978-981-33-6081-5_10 Luz, 2019, In-network performance measurements for Software Defined Wireless Sensor Networks, 206 Lin, 2018, The SDN approach for the aggregation/disaggregation of sensor data, Sensors (Switzerland), 18, 10.3390/s18072025 Cai, 2020, Improving scanner data collection in P4-based SDN, 126 Wang, 2016, Hybridtrace: A traceroute tool for hybrid networks composed of SDN and legacy switches, 403 Pal, 2020, On the lifetime of asynchronous software-defined wireless sensor networks, IEEE Internet Things J., 7, 6069, 10.1109/JIOT.2020.2964649 Li, 2016, Temporal lossless and lossy compression in wireless sensor networks, ACM Trans. Sens. Netw., 12, 10.1145/2990196 Pushpalatha, 2020, Energy-efficient communication using data aggregation and data compression techniques in wireless sensor networks: A survey, Lect. Notes Electr. Eng., 614, 161, 10.1007/978-981-15-0626-0_14 Dh, 2016, Data aggregation techniques in WSN:Survey, Procedia Comput. Sci., 92, 378, 10.1016/j.procs.2016.07.393 Iqbal, 2022, Designing a healthcare-enabled software-defined wireless body area network architecture for secure medical data and efficient diagnosis, J. Healthc. Eng., 2022, 1, 10.1155/2022/9210761 Cai, 2018, Data aggregation processes: a survey, a taxonomy, and design guidelines, Computing, 101, 1397, 10.1007/s00607-018-0679-5 Egidius, 2019, A comparison of data aggregation techniques in software-defined wireless sensor network, 1551 Vishnu, 2019, SeC-SDWSN: Secure cluster-based SDWSN environment for QoS guaranteed routing in three-tier architecture, Int. J. Commun. Syst., 32, 10.1002/dac.4020 Chan, 2016, OpenNet: A simulator for software-defined wireless local area network, 3332 2022 2008 2022 2022 2011 2022 2022 Chaves, 2016, OFSwitch13: Enhancing ns-3 with OpenFlow 1.3 support, 33 Klein, 2013 2022