Optimized pollard route deviation and route selection using Bayesian machine learning techniques in wireless sensor networks

Computer Networks - Tập 216 - Trang 109228 - 2022
C.N. Vanitha1, S. Malathy1, Rajesh Kumar Dhanaraj2, Anand Nayyar3,4
1Department of Computer Science and Engineering, Kongu Engineering College, Erode, India
2School of Computing Science and Engineering, Galgotias University, India
3Graduate School, Duy Tan University, Da Nang 550000, Viet Nam
4Faculty of Information Technology, Duy Tan University, Da Nang 550000, Viet Nam

Tài liệu tham khảo

Jemili, 2021, Cross-layer multipath approach for critical traffic in duty-cycled wireless sensor networks, J. Netw. Comput. Appl., 191, 10.1016/j.jnca.2021.103154 Sivabalan, 2020, Arbitrary walk with minimum length based route identification scheme in graph structure for opportunistic wireless sensor network, 47 Pundir, 2021, A systematic review of quality of service in wireless sensor networks using machine learning: recent trend and future vision, J. Netw. Comput. Appl., 188, 10.1016/j.jnca.2021.103084 Asif, 2017, Quality of service of routing protocols in wireless sensor networks: a review, IEEE Access, 5, 1846, 10.1109/ACCESS.2017.2654356 Ding, 2021, An overview of machine learning-based energy-efficient routing algorithms in wireless sensor networks, Electronics (Basel), 10, 1539 Shahbaz, 2021, Multipath routing through the firefly algorithm and fuzzy logic in wireless sensor networks, Peer-to-Peer Netw. Appl., 14, 541, 10.1007/s12083-020-01004-2 Kang, 2020, Machine learning-based energy-saving framework for environmental states-adaptive wireless sensor network, IEEE Access, 8, 69359, 10.1109/ACCESS.2020.2986507 Huang, 2022, Deep Graph Reinforcement Learning Based Intelligent Traffic Routing Control for Software-Defined Wireless Sensor Networks, Appl. Sci., 12, 1951, 10.3390/app12041951 Wang, 2021, An active detection of compromised nodes based on en-route trap in wireless sensor network, Int. J. Distrib. Sens. Netw., 17, 10.1177/15501477211040367 Smys, 2021, Taxonomy classification and comparison of routing protocol based on energy efficient rate, J. ISMAC, 3, 96 Zhang, 2020, Efficient Lamb-wave based damage imaging using multiple sparse Bayesian learning in composite laminates, NDT & E Int., 116, 10.1016/j.ndteint.2020.102277 Quy, 2021, A survey of QoS-aware routing protocols for the MANET-WSN convergence scenarios in IoT networks, Wirel. Person. Commun., 120, 49, 10.1007/s11277-021-08433-z Singh, 2022, Approach of Machine Learning Algorithms to Deal with Challenges in Wireless Sensor Network, 375 Vashisht, 2022, ML Algorithms for Smart Sensor Networks, 73 Mittal, 2021, Machine learning techniques for energy efficiency and anomaly detection in hybrid wireless sensor networks, Energies, 14, 3125, 10.3390/en14113125 Rodić, 2021, Machine learning and soil humidity sensing: signal strength approach, ACM Trans. Internet Tech. (TOIT), 22, 1, 10.1145/3418207 Mandal, 2021, Fuzzy Rule-Based System for Route Selection in WSN Using Quadratic Programming, 81 Maheshwari, 2021, Energy efficient cluster based routing protocol for WSN using butterfly optimization algorithm and ant colony optimization, Ad Hoc Netw., 110, 10.1016/j.adhoc.2020.102317 Yagoub, 2021, Lightweight and Efficient Dynamic Cluster Head Election Routing Protocol for Wireless Sensor Networks, Sensors, 21, 5206, 10.3390/s21155206 Jain, 2019, QWRP: query-driven virtual wheel based routing protocol for wireless sensor networks with mobile sink, J. Netw. Comput. Appl., 147, 10.1016/j.jnca.2019.102430 Vijayalakshmi, 2021, A misdirected route avoidance using random waypoint mobility model in wireless sensor network, Wirel. Netw., 27, 3845, 10.1007/s11276-021-02703-1 Jin, 2020, EEG classification using sparse Bayesian extreme learning machine for brain–computer interface, Neur. Comput. Appl., 32, 6601, 10.1007/s00521-018-3735-3 Poornimha, 2022, Scheduling Method to Improve Energy Consumption in WSN, 523 Kim, 2020, Machine learning for advanced wireless sensor networks: a review, IEEE Sens. J., 21, 12379, 10.1109/JSEN.2020.3035846 Abdulai, 2022, A modified distance-based energy-aware (mDBEA) routing protocol in wireless sensor networks (WSNs), J. Ambient Intell. Humaniz. Comput., 1 Khan, 2022, An Efficient Multilevel Probabilistic Model for Abnormal Traffic Detection in Wireless Sensor Networks, Sensors, 22, 410, 10.3390/s22020410 Mazumdar, 2021, An adaptive hierarchical data dissemination mechanism for mobile data collector enabled dynamic wireless sensor network, J. Netw. Comput. Appl., 186, 10.1016/j.jnca.2021.103097 Kandris, 2020, Applications of wireless sensor networks: an up-to-date survey, Appl. Syst. Innovat., 3, 14, 10.3390/asi3010014 Hamami, 2020, Application of wireless sensor networks in the field of irrigation: a review, Comput. Electron. Agric., 179, 10.1016/j.compag.2020.105782 Shahraki, 2020, Clustering objectives in wireless sensor networks: a survey and research direction analysis, Comput. Netw., 180, 10.1016/j.comnet.2020.107376 Dargie, 2020, A simple clustering strategy for wireless sensor networks, IEEE Sens. Lett., 4, 1, 10.1109/LSENS.2020.2991221 Kashyap, 2020, Applications of wireless sensor networks in healthcare, 8 Singh, 2020, 155 Landaluce, 2020, A review of IoT sensing applications and challenges using RFID and wireless sensor networks, Sensors, 20, 2495, 10.3390/s20092495 Numan, 2020, A systematic review on clone node detection in static wireless sensor networks, IEEE Access, 8, 65450, 10.1109/ACCESS.2020.2983091 Chowdhury, 2020, Different energy saving schemes in wireless sensor networks: a survey, Wirel. Person. Commun., 114, 2043, 10.1007/s11277-020-07461-5 Sah, 2020, Renewable energy harvesting schemes in wireless sensor networks: a survey, Inform. Fusion, 63, 223, 10.1016/j.inffus.2020.07.005 Patel, 2020, A review on classification of imbalanced data for wireless sensor networks, Int. J. Distrib. Sens. Netw., 16, 10.1177/1550147720916404 Khujamatov, 2020, Markov chain based modeling bandwith states of the wireless sensor networks of monitoring system, Int. J. Adv. Sci. Technol., 29, 4889 Singh, 2022, Intelligent ad-hoc-on demand multipath distance vector for wormhole attack in clustered WSN, Wirel. Person. Commun., 122, 1305, 10.1007/s11277-021-08950-x Macrina, 2020, Drone-aided routing: a literature review, Transp. Res. Part C Emerg. Technol., 120, 10.1016/j.trc.2020.102762 Al Aghbari, 2020, Routing in wireless sensor networks using optimization techniques: a survey, Wirel. Person. Commun., 111, 2407, 10.1007/s11277-019-06993-9 Kakamoukas, 2022, FANETs in Agriculture-A routing protocol survey, Internet of Things, 18, 10.1016/j.iot.2020.100183 Nayak, 2021, Routing in wireless sensor networks using machine learning techniques: challenges and opportunities, Measurement, 178, 10.1016/j.measurement.2021.108974 Loganathan, 2021, EERP: intelligent cluster based energy enhanced routing protocol design over wireless sensor network environment, Int. J. Mod. Agric., 10, 1725 Deebak, 2020, A hybrid secure routing and monitoring mechanism in IoT-based wireless sensor networks, Ad Hoc Netw., 97 El Khediri, 2020, Improved node localization using K-means clustering for Wireless Sensor Networks, Comput. Sci. Rev., 37, 10.1016/j.cosrev.2020.100284 Mosavifard, 2020, An energy-aware clustering and two-level routing method in wireless sensor networks, Computing, 102, 1653, 10.1007/s00607-020-00817-6 Priyadarshi, 2020, Wireless sensor networks deployment: a result oriented analysis, Wirel. Person. Commun., 113, 843, 10.1007/s11277-020-07255-9 Chowdhury, 2021, Energy-efficient coverage optimization in wireless sensor networks based on Voronoi-Glowworm Swarm Optimization-K-means algorithm, 122 Kadiravan, 2021, Metaheuristic clustering protocol for healthcare data collection in mobile wireless multimedia sensor networks, Comput. Mater. Cont., 66, 3215 Verma, 2020, Cost-effective cluster-based energy efficient routing for green wireless sensor network, Recent Adv. Comp. Sci. Commun., 12 Ghorbani Dehkordi, 2022, Cluster based routing method using mobile sinks in wireless sensor network, Int. J. Electron., 1 Queiroz, 2021, Channel assignment in TSCH-based wireless sensor networks using fuzzy logic, J. Ambient Intell. Humaniz. Comput., 1 Chuku, 2021, RSSI-Based localization schemes for wireless sensor networks using outlier detection, J. Sens. Actuat. Netw., 10, 10, 10.3390/jsan10010010 Boubiche, 2021, Cybersecurity issues in wireless sensor networks: current challenges and solutions, Wirel. Person. Commun., 117, 177, 10.1007/s11277-020-07213-5 Khudhur, 2022, IgG-IgM antibodies based infection time detection of COVID-19 using machine learning models, TELKOMNIKA (Telecommunication Computing Electronics and Control), 20, 340, 10.12928/telkomnika.v20i2.21649 Chen, 2020, Sparse Bayesian learning for structural damage identification, Mech. Syst. Signal Process., 140, 10.1016/j.ymssp.2020.106689 Pei, 2020, Active surveillance via group sparse Bayesian learning, IEEE Trans. Pattern Anal. Mach. Intell. Du, 2021, Modified action decoder using Bayesian reasoning for multi-agent deep reinforcement learning, Int. J. Mach. Learn. Cybernet., 12, 2947, 10.1007/s13042-021-01385-7 Devika, 2021, Mushroom Edibility Identification Applying CBR and Ant Lion Techniques in Multi-sensor Environment, SN Comput. Sci., 2, 1, 10.1007/s42979-021-00582-z SureshKumar, 2021, Energy efficient routing protocol using exponentially-ant lion whale optimization algorithm in wireless sensor networks, Comput. Netw., 197, 10.1016/j.comnet.2021.108250 Rawat, 2021, Particle swarm optimization-based energy efficient clustering protocol in wireless sensor network, Neur. Comput. Appl., 33, 14147, 10.1007/s00521-021-06059-7 Wu, 2021, Learning improvement heuristics for solving routing problems, IEEE Trans. Neural Netw. Learn. Syst. Yousefpoor, 2021, A hierarchical secure data aggregation method using the dragonfly algorithm in wireless sensor networks, Peer-to-Peer Netw. Appl., 14, 1917, 10.1007/s12083-021-01116-3 Hasheminejad, 2021, A reliable tree-based data aggregation method in wireless sensor networks, Peer-to-Peer Netw. Appl., 14, 873, 10.1007/s12083-020-01025-x Naghibi, 2021, SHSDA: secure hybrid structure data aggregation method in wireless sensor networks, J. Ambient Intell. Humaniz. Comput., 12, 10769, 10.1007/s12652-020-02751-z Hajipour, 2021, EELRP: energy efficient layered routing protocol in wireless sensor networks, Computing, 103, 2789, 10.1007/s00607-021-00996-w Marietta, 2020, A review on routing in internet of things, Wirel. Person. Commun., 111, 209, 10.1007/s11277-019-06853-6 Radhika, 2021, Energy optimized micro genetic algorithm based LEACH protocol for WSN, Wirel. Netw., 27, 27, 10.1007/s11276-020-02435-8 Sharifi, 2021, A method for routing and data aggregating in cluster-based wireless sensor networks, Int. J. Commun. Syst., 34, e4754, 10.1002/dac.4754 Nilsaz Dezfuli, 2019, Distributed energy efficient algorithm for ensuring coverage of wireless sensor networks, IET Commun., 13, 578, 10.1049/iet-com.2018.5329 Papi, 2022, HDRM: a hole detection and recovery method in wireless sensor network, Int. J. Commun. Syst., 35, e5120, 10.1002/dac.5120 Hatamian, 2016, Congestion-aware routing and fuzzy-based rate controller for wireless sensor networks, Radioengineering, 25, 114, 10.13164/re.2016.0114 Nilsaz Dezfouli, 2020, A distributed energy-efficient approach for hole repair in wireless sensor networks, Wirel. Netw., 26, 1839, 10.1007/s11276-018-1867-0 Bangotra, 2021, A trust based secure intelligent opportunistic routing protocol for wireless sensor networks, Wirel. Person. Commun., 1 Bhushan, 2020, Requirements, protocols, and security challenges in wireless sensor networks: an industrial perspective, 683 Rajasekar, 2021, Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data, Wirel. Person. Commun., 1 Fu, 2020, Environment-fusion multipath routing protocol for wireless sensor networks, Inform. Fusion, 53, 4, 10.1016/j.inffus.2019.06.001 Nagarajan, 2022, A new routing protocol for WSN using limit-based Jaya sail fish optimization-based multi-objective LEACH protocol: an energy-efficient clustering strategy, Wirel. Netw., 1 Thangaramya, 2019, Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT, Comput. Netw., 151, 211, 10.1016/j.comnet.2019.01.024 Logambigai, 2018, Energy–efficient grid–based routing algorithm using intelligent fuzzy rules for wireless sensor networks, Comput. Electric. Eng., 68, 62, 10.1016/j.compeleceng.2018.03.036 Kalidoss, 2020, QoS aware trust based routing algorithm for wireless sensor networks, Wirel. Person. Commun., 110, 1637, 10.1007/s11277-019-06788-y Chen, 2020, Rl-routing: an sdn routing algorithm based on deep reinforcement learning, IEEE Trans. Netw. Sci. Eng., 7, 3185, 10.1109/TNSE.2020.3017751 Jospin, 2022, Hands-on Bayesian neural networks—A tutorial for deep learning users, IEEE Comput. Intell. Mag., 17, 29, 10.1109/MCI.2022.3155327 Gaglione, 2020, Adaptive Bayesian learning and forecasting of epidemic evolution—Data analysis of the COVID-19 outbreak, IEEE Access, 8, 175244, 10.1109/ACCESS.2020.3019922 Wang, 2020, A survey on Bayesian deep learning, ACM Computing Surveys (CSUR), 53, 1 Liu, 2020, Efficient multitask structure-aware sparse Bayesian learning for frequency-difference electrical impedance tomography, IEEE Trans. Ind. Inf., 17, 463, 10.1109/TII.2020.2965202 Zhao, 2020, Sparse Bayesian learning of delay-Doppler channel for OTFS system, IEEE Commun. Lett., 24, 2766, 10.1109/LCOMM.2020.3021120 Wang, 2021, Sparse Bayesian learning based channel estimation in FBMC/OQAM industrial IoT networks, Comput. Commun., 176, 40, 10.1016/j.comcom.2021.05.020 Xiang, 2020, Multi-frequency electromagnetic tomography for acute stroke detection using frequency-constrained sparse Bayesian learning, IEEE Trans. Med. Imaging, 39, 4102, 10.1109/TMI.2020.3013100 Robbiano, 2020, Bayesian learning of occupancy grids, IEEE Trans. Intell. Transp. Syst. Mitra, 2020, A new approach to distributed hypothesis testing and non-bayesian learning: improved learning rate and byzantine resilience, IEEE Trans. Automat. Contr., 66, 4084, 10.1109/TAC.2020.3033126 Alshangiti, 2020, A Bayesian learning model for design-phase service mashup popularity prediction, Expert Syst. Appl., 149, 10.1016/j.eswa.2020.113231 Zhou, 2022, A group sparse Bayesian learning algorithm for harmonic state estimation in power systems, Appl. Energy, 306, 10.1016/j.apenergy.2021.118063 Krafft, 2021, Bayesian collective learning emerges from heuristic social learning, Cognition, 212, 10.1016/j.cognition.2020.104469 Chen, 2020, A novel learning cloud Bayesian network for risk measurement, Appl. Soft Comput., 87, 10.1016/j.asoc.2019.105947 Mahmoudi, 2020, Defense against primary user emulation attackers based on adaptive Bayesian learning automata in cognitive radio networks, Ad Hoc Netw., 102, 10.1016/j.adhoc.2020.102147 Christmas, 2022, Non-stationary, online variational Bayesian learning, with circular variables, Pattern Recognit., 122, 10.1016/j.patcog.2021.108340 Liu, 2021, Hierarchical Independence Thresholding for learning Bayesian network classifiers, Knowl. Based Syst., 212, 10.1016/j.knosys.2020.106627 Hu, 2021, Bayesian learning of LF-MMI trained time delay neural networks for speech recognition, IEEE/ACM Trans. Audio Speech Lang. Process., 29, 1514, 10.1109/TASLP.2021.3069080