Enhancing energy efficiency of IEEE 802.15.4- based industrial wireless sensor networks

Journal of Industrial Information Integration - Tập 33 - Trang 100460 - 2023
Ala’ Khalifeh1, Rabi Tanash1, Mahmoud AlQudah1, Salem Al-Agtash1,2
1German Jordanian University, Faculty of Electrical Engineering and Information Technology, Amman, Jordan
2Santa Clara University, Department of Computer Science and Engineering, Santa Clara, CA, United States of America

Tài liệu tham khảo

Sinha, 2001, Dynamic power management in wireless sensor networks, IEEE Des. Test Comput., 18, 10.1109/54.914626 Karnik, 2021, A comprehensive study on current and future trends towards the characteristics and enablers of industry 4.0, J. Ind. Inf. Integr. Faheem, 2021, CBI4.0: a cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0, J. Ind. Inf. Integr., 24 Gholami, 2019, An ad hoc distributed systems approach for industrial wireless sensor network management, J. Ind. Inf. Integr., 15 R.M. Passos, C.J.N. Coelho, A.A.F. Loureiro, and R.A.F. Mini, “Dynamic power management in wireless sensor networks: an application-driven approach,” Second Annual Conference on Wireless On-demand Network Systems and Services, St. Moritz, Switzerland, 2005, pp. 109-118, doi: 10.1109/WONS.2005.13. Darabkh, 2019, Energy-Aware and Density-Based Clustering and Relaying Protocol (EA-DB-CRP) for gathering data in wireless sensor networks, Appl. Soft Comput. J., 80, 10.1016/j.asoc.2019.03.025 Karunanithy, 2020, Cluster-tree based energy efficient data gathering protocol for industrial automation using WSNs and IoT, J. Ind. Inf. Integr., 19 Dargie, 2012, Dynamic power management in wireless sensor networks: state-of-the-art, IEEE Sensors J., 12, 10.1109/JSEN.2011.2174149 Khedo, 2010, A wireless sensor network air pollution monitoring system, Int. J. Wireless Mobile Netw., 2 Aslan, 2012, A framework for use of wireless sensor networks in forest fire detection and monitoring, Comput. Environ. Urban Syst, 36, 10.1016/j.compenvurbsys.2012.03.002 Rasin, 2009, Water quality monitoring system using Zigbee based wireless sensor network, Int. J., 9 P. Mehta, D. Chander, M. Shahim, K. Tejaswi, S.N. Merchant, and U.B. Desai, “Distributed detection for landslide prediction using wireless sensor network,” 2007. doi: 10.1109/GIIS.2007.4404190. Charilaou, 2021, Firmware update using multiple gateways in lorawan networks, Sensors, 21, 10.3390/s21196488 A. Khalifeh, A. Al-Qammaz, K.A. Darabkh, L. Abualigah, A.M. Khasawneh, and Z. Zinonos, “An AI based irrigation and weather forecasting system utilizing LoRaWAN and cloud computing technologies,” 2021. doi: 10.1109/ElConRus51938.2021.9396431. A. Khalifeh, S. Shraideh, and K.A. Darabkh, “Joint channel and spreading factor selection algorithm for LoRaWAN based networks,” 2020. doi: 10.1109/UCET51115.2020.9205428. K. Yu, F. Barać, M. Gidlund, J. Åkerberg, and M. Björkman, “A flexible error correction scheme for IEEE 802.15.4-based industrial wireless sensor networks,” 2012. doi: 10.1109/ISIE.2012.6237255. Toscano, 2012, Multichannel superframe scheduling for IEEE 802.15.4 industrial wireless sensor networks, IEEE Trans. Ind. Inf., 8, 10.1109/TII.2011.2166773 Urke, 2021, Layered autonomous TSCH scheduler for minimal band occupancy with bounded latency, Internet Technol. Lett., 4, 10.1002/itl2.255 Yoo, 2010, Guaranteeing real-time services for industrial wireless sensor networks with IEEE 802.15.4, IEEE Trans. Ind. Electron., 57, 10.1109/TIE.2010.2040630 Kasbekar, 2011, Lifetime and coverage guarantees through distributed coordinate-free sensor activation, IEEE/ACM Trans. Networking, 19, 10.1109/TNET.2010.2077648 Muthukumaran, 2010, MeshMAC: enabling mesh networking over IEEE 802.15.4 through distributed beacon scheduling, 28 Khalifeh, 2021, LoRaWAN energy optimization with security consideration, Int. Arab J. Inform. Technol., 18 M. Nuimat, A. Gharaibeh, and A. Khalifeh, “Joint routing and channel assignment for throughput maximization in mobile wireless sensor networks,” 2020. doi: 10.1109/UCET51115.2020.9205449. A. Khalifeh et al., “An energy efficient WSN implementation for monitoring and critical event detection,” 2019. doi: 10.1109/MENACOMM46666.2019.8988540. A. Khalifeh, S. Al-Agtash, R. Tanash, and M. Alqudah, “Deploying agents for monitoring and notification of wireless sensor networks,” 2017. doi: 10.1109/ICTAI.2016.0118. Rezaei, 2012, Energy saving in wireless sensor networks, Int. J. Comput. Sci. Eng. Survey, 3, 10.5121/ijcses.2012.3103 W. Ye, J. Heidemann, and D. Estrin, “An energy-efficient MAC protocol for wireless sensor networks,” in Proceedings - IEEE INFOCOM, 2002, vol. 3. doi: 10.1109/INFCOM.2002.1019408. T. van Dam and K. Langendoen, “An adaptive energy-efficient MAC protocol for wireless sensor networks,” 2003. doi: 10.1145/958491.958512. S.H. Yang, H.W. Tseng, E.H. K. Wu, and G.H. Chen, “Utilization based duty cycle tuning MAC protocol for wireless sensor networks,” in GLOBECOM - IEEE Global Telecommunications Conference, 2005, vol. 6. doi: 10.1109/GLOCOM.2005.1578377. M.L. Sichitiu, “Cross-layer scheduling for power efficiency in wireless sensor networks,” in Proceedings - IEEE INFOCOM, 2004, vol. 3. doi: 10.1109/INFCOM.2004.1354585. Cardei, 2005, Improving wireless sensor network lifetime through power aware organization, 11 S. Cho, K. Kanuri, J.W. Cho, J.Y. Lee, and S. do June, “Dynamic energy efficient TDMA-based MAC protocol for wireless sensor networks,” in Proceedings of the Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services, ICAS/ICNS 2005, 2005, vol. 2005. doi: 10.1109/ICAS-ICNS.2005.43. L. Campelli, A. Capone, M. Cesana, and E. Ekici, “A receiver oriented MAC protocol for wireless sensor networks,” 2007. doi: 10.1109/MOBHOC.2007.4428626. D. Tian and N.D. Georganas, “A coverage-preserving node scheduling scheme for large wireless sensor networks,” 2002. doi: 10.1145/570743.570744. Cinar, 2019, HMCA WSN : a hybrid multi-channel allocation method for erratic delay constraint WSN applications, Comput. Stand. Interfaces, 65, 10.1016/j.csi.2019.02.004 Rhee, 2008, Z-MAC: a hybrid MAC for wireless sensor networks, IEEE/ACM Trans. Networking, 16 S. Ray, I. Demirkol, and W. Heinzelman, “ADV-MAC: advertisement-based MAC protocol for wireless sensor networks,” 2009. doi: 10.1109/MSN.2009.27. Shrestha, 2014, Distributed and centralized hybrid CSMA/CA-TDMA schemes for single-hop wireless networks, IEEE Trans. Wireless Commun., 13, 10.1109/TWC.2014.2327102 Gilani, 2013, An adaptive CSMA/TDMA hybrid MAC for energy and throughput improvement of wireless sensor networks, Ad Hoc Netw., 11, 10.1016/j.adhoc.2011.01.005 P. Park, C. Fischione, and K.H. Johansson, “Adaptive IEEE 802.15.4 protocol for energy efficient, reliable and timely communications,” 2010. doi: 10.1145/1791212.1791251. Koubâa, 2005, IEEE 802.15.4 for wireless sensor networks: a technical overview, Architecture A. Khalifeh, H. Salah, S. Alouneh, A. Al-Assaf, and K. Darabkh, “Performance evaluation of DigiMesh and ZigBee wireless mesh networks,” 2018. doi: 10.1109/WiSPNET.2018.8538620. Zhang, 2005, Maintaining sensing coverage and connectivity in large sensor networks, Ad-Hoc Sensor Wireless Netw., 1 X. Wang, G. Xing, Y. Zhang, C. Lu, R. Pless, and C. Gill, “Integrated coverage and connectivity configuration in wireless sensor networks,” 2003. doi: 10.1145/958495.958496. “Determine where two circles intersect in C# - C# HelperC# Helper”. https://csharphelper.com/blog/2014/09/determine-where-two-circles-intersect-in-c/. (accessed Jan. 15, 2022). “Industry Leader in Network Modeling & Network Simulation - SCALABLE.” https://www.scalable-networks.com/. (accessed Jan. 15, 2022). Heinzelman, 2002, An application-specific protocol architecture for wireless microsensor networks, IEEE Trans. Wireless Commun., 1, 660, 10.1109/TWC.2002.804190 Shahin, Farahani. "ZigBee wireless networks and transceivers." USA: Newnes 339 (2008).