Enhancing Underwater Wireless Sensor Networks: A Novel Energy-Harvesting Protocol

International Journal of Electronics and Communication Engineering
© 2024 by SSRG - IJECE Journal
Volume 11 Issue 10
Year of Publication : 2024
Authors : Hamza ZRADGUI, IBRAHIMI KHALIL
pdf
How to Cite?

Hamza ZRADGUI, IBRAHIMI KHALIL, "Enhancing Underwater Wireless Sensor Networks: A Novel Energy-Harvesting Protocol," SSRG International Journal of Electronics and Communication Engineering, vol. 11,  no. 10, pp. 58-76, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I10P105

Abstract:

Underwater Wireless Sensors Networks (UWSNs) are comprised of sensor nodes collaborating and connecting each other and different objects in the maritime and underwater environments, an emerging ecosystem for communication and observing the target environments. The applications of UWSNs include underwater exploration, intelligent monitoring for disaster prevention and monitoring, oil gas exploration, etc. The UWSNs impact a wide range of sizes, from a small scientific observatory to a medium-sized harbour to worldwide oceanic traffic. UWSNs network architecture is inherently heterogeneous and must be durable enough to operate in severe settings. This poses significant hurdles regarding underwater communications, especially given the limited energy supplies available. Furthermore, UWSNs face a number of inherent problems, including frequent node mobility due to water currents, a high error rate, limited bandwidth, significant latency, and energy constraints. A sensor node that does not have enough energy in its battery cannot contribute to network performance and is effectively worthless as a void hole. The battery in an underwater wireless sensor network cannot be recharged or replaced. As a result, in order to extend the network’s life, we’ll need a source that can harvest energy from the environment and replenish the sensor node’s battery. The Extended Energy-Scaled and Expanded Vector-Based Forwarding Protocol (EESEVBF) uses the timer method to prevent duplicate packets. A proposed novel Mollies and Platies Bottom-feeder pods routing aided Energy Harvesting for (MPBFP-EH) Underwater Wireless Sensors Networks (UWSNs) protocol, which harvests energy from ambient sources and extends the network lifetime. The timer value is calculated based on the distance from the transmission area’s boundary relative to the inverse energy of the potential forwarding node at the first and second hops, the distance from the virtual pipeline, the distance from the source to the potential forwarding nodes at the second hop, the distance from the first-hop PFN to its destination. Furthermore, it can be seen from the results that the proposed scheme outperformed compared to the banckmarker EESEVBF in terms of energy tax, PDR, and end-to-end delay with an average of 15%, 11% and 8%.

Keywords:

Underwater Acoustic Wireless Sensors Networks (UAWSNs), Mollies and Platies Bottom-feeders pods routing protocol, Energy Harvesting for Underwater Wireless Sensors Networks.

References:

[1] Youngtae Noh et al., “VAPR: Void-Aware Pressure Routing for Underwater Sensor Networks,” IEEE Transactions on Mobile Computing, vol. 12, no. 5, pp. 895-908, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Ian F. Akyildiz, Dario Pompili, and Tommaso Melodia, “Underwater Acoustic Sensor Networks: Research Challenges,” Ad Hoc Networks, vol. 3, no. 3, pp. 257-279, 2005.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Huafeng Wu et al., “An ACOA-AFSA Fusion Routing Algorithm for Underwater Wireless Sensor Network,” International Journal of Distributed Sensor Networks, vol. 8, no. 5, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Salmah Fattah et al., “A Survey on Underwater Wireless Sensor Networks: Requirements, Taxonomy, Recent Advances, and Open Research Challenges,” Sensors, vol. 20, no. 18, pp. 1-30, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Khalid Mahmood Awan et al., “Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges,” Wireless Communications and Mobile Computing, vol. 2019, no. 1, pp. 1-20, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Khandaker Foysal Haque, K. Habibul Kabir, and Ahmed Abdelgawad, “Advancement of Routing Protocols and Applications of Underwater Wireless Sensor Network (UWSN)-A Survey,” Journal of Sensor and Actuator Networks, vol. 9, no. 2, pp. 1-31, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Kishor Patil et al., “Stochastic Modeling of Depth Based Routing in Underwater Sensor Networks,” Ad Hoc Networks, vol. 89, pp. 132-141, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Sarang Karim et al., “Anchor Nodes Assisted Cluster-Based Routing Protocol for Reliable Data Transfer in Underwater Wireless Sensor Networks,” IEEE Access, vol. 9, pp. 36730-36747, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Prakash Mohan et al., “Improved Metaheuristics-Based Clustering with Multihop Routing Protocol for Underwater Wireless Sensor Networks,” Sensors, vol. 22, no. 4, pp. 1-16, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Junhai Luo et al., “A Survey of Routing Protocols for Underwater Wireless Sensor Networks,” IEEE Communications Surveys Tutorials, vol. 23, no. 1, pp. 137-160, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Addisalem, K.P. Porkodi, and I.Karthika, “Comparative Analysis of Routing Protocols for Under Water Wireless Sensor Networks: A Survey,” EPRA International Journal of Multidisciplinary Research, vol. 3, no. 5, pp. 40-47, 2017.
[Publisher Link]
[12] Salvador Climent et al., “Underwater Acoustic Wireless Sensor Networks: Advances and Future Trends in Physical, MAC and Routing Layers,” Sensors, vol. 14, no. 1, pp. 795-833, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[13] M.S. Garcia et al., “An Agent-Based Wireless Sensor Network Forwater Quality Data Collection,” International Conference on Ubiquitous Computing and Ambient Intelligence, Springer, Berlin, Heidelberg, pp. 454-461, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Ethem M. Sozer, Milica Stojanovic, and John G. Proakis, “Underwater Acoustic Networks,” IEEE Journal of Oceanic Engineering, vol. 25, no. 1, pp. 72-83, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[15] John Heidemann et al., “Research challenges and Applications for Underwater Sensor Networking,” IEEE Wireless Communications and Networking Conference, Las Vegas, NV, pp. 228-235, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Frank Hanson, and Stojan Radic, “High Bandwidth Underwater Optical Communication,” Applied Optics, vol. 47, no. 2, pp. 277 283, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Hemani Kaushal, and Georges Kaddoum “Underwater Optical Wireless Communication,” IEEE Access, vol. 4, pp. 1518-1547, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Umberto M. Cella, Ron Johnstone, and Nicholas Shuley, “Electromagnetic Wave Wireless Communication in Shallow Water Coastal Environment: Theoretical Analysis and Experimental Results,” Proceedings of the 4th International Workshop on Underwater Networks, New York, United States, pp. 1-8.2009.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Xianhui Che et al., “Re-Evaluation of RF Electromagnetic Communication in Underwater Sensor Networks,” IEEE Communications Magazine, vol. 48, no. 12, pp. 143-151, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Milica Stojanovic, and James Preisig, “Underwater Acoustic Communication Channels: Propagation Models and Statistical Characterization,” IEEE Communications Magazine, vol. 47, no. 1, pp. 84-89, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Peng Xie, Jun-Hong Cui, and Li Lao, “VBF: Vector-Based Forwarding Protocol for Underwater Sensor Networks,” International Conference on Research in Networking, Springer, Berlin, Heidelberg, pp. 1216-1221, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Paolo Casari, Milica Stojanovic, and Michele Zorzi, “Exploiting the Bandwidth – Distance Relationship in Underwater Acoustic Networks,” OCEANS 2007, Vancouver, BC, Canada, pp. 1-6, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Daniel Walker, “Micro Autonomous Underwater Vehicle Concept for Distributed Data Collection,” OCEANS 2006, Boston, MA, USA, pp. 1-4, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Zahid Wadud et al., “An Efficient Routing Protocol Based on Stretched Holding Time Difference for Underwater Wireless Sensor Networks,” Sensors, vol. 19, no. 24, pp. 1-30, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Sravanthi Chalasani, and James M. Conrad, “A Survey of Energy Harvesting Sources for Embedded Systems,” IEEE SoutheastCon, pp. 442-447, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Haiping Luo et al., “Electricity Generation in a Microbial Fuel Cell Using Yogurt Wastewater under Alkaline Conditions,” RSC Advances, vol. 7, no. 52, pp. 32826-32832, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Daniel M. Toma et al., “Underwater Energy Harvesting System based on plucked-Driven Piezoelectrics,” OCEANS 2015-Genova, Genova, Italy, pp. 1-5, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Clare E. Reimers et al., “Harvesting Energy from the Marine Sediment Water Interface,” Environmental Science Technology, vol. 35, no. 1, pp. 192-195, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Yanming Gong et al., “Benthic Microbial Fuel Cell as Direct Power Source for an Acoustic Modem and Seawater Oxygen/Temperature Sensor System,” Environmental Science Technology, vol. 45, no. 11, pp. 5047-5053, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Hamid Fahim Rezaei, Anton Kruger, and Craig Just, “An Energy Harvesting Scheme for Underwater Sensor Applications,” IEEE International Conference on Electro/Information Technology, Indianapolis, IN, USA, pp. 1-4, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Shad Roundy, Paul K. Wright, and Jan Rabaey, “A Study of Low Level Vibrations as a Power Source for Wireless Sensor Nodes,” Computer Communications, vol. 26, no. 11, pp. 1131-1144, 2003.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Sea-Hee Hwangbo, Jun-Ho Jeon, and Sung-Joon Park, “Self-Powered Wireless Ocean Monitoring Systems,” SENSORCOMM 2012: The Sixth International Conferenceon Sensor Technologies and Applications, pp. 334-337, 2012.
[Google Scholar] [Publisher Link]
[33] B. Sai Srujana, Princy Mathews, and V.P. Harigovindan, “Multi-Source Energy Harvesting System for Underwater Wireless Sensor Networks,” Procedia Computer Science, vol. 46, pp. 1041-1048, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Triet T. Le, Efficient Power Conversion Interface Circuits for Energy Harvesting Applications, Oregon State University, 2008.
[Google Scholar] [Publisher Link]
[35] Triet T. Le et al., “Piezoelectric Micro-Power Generation Interface Circuits,” IEEE Journal of Solid-State Circuits, vol. 41, no. 6, pp. 1411-1420, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Haitao Yu, Nianmin Yao, and Jun Liu, “An Adaptive Routing Protocol in Underwater Sparse Acoustic Sensor Networks,” Ad Hoc Networks, vol. 34, pp. 121-143, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[37] Imran Ullah Khan et al., “Adaptive Hop-by-Hop Cone Vector-Based Forwarding Protocol for Underwater Wireless Sensor Networks,” International Journal of Distributed Sensor Networks, vol. 16, no. 9, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[38] Hai Yan, Zhijie Jerry Shi, and Jun-Hong Cui, “DBR: Depth-Based Routing for Underwater Sensor Networks,” Networking 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet, Lecture Notes in Computer Science, vol. 4982, pp. 72-86, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[39] Haitao Yu et al., “WDFAD-DBR: Weighting Depth and Forwarding Area Division DBR Routing Protocol for UASNs,” Ad Hoc Networks, vol. 37, pp. 256-282, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[40] Zahid Wadud et al., “DOW-PR Dolphin and Whale Pods Routing Protocol for Underwater Wireless Sensor Networks (UWSNs),” Sensors, vol. 18, no. 5, pp. 1-34, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[41] Hrishikesh Gossain et al., “DRP: An Efficient Directional Routing Protocol for Mobile Ad Hoc Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 12, pp. 1438-1541, 2006.
[CrossRef] [Google Scholar] [Publisher Link]
[42] R.M. Gomathi, and J. Martin Leo Manickam, “Energy Efficient Shortest Path Routing Protocol for Underwater Acoustic Wireless Sensor Network,” Wireless Personal Communications, vol. 98, no. 1, pp. 843-856, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[43] Zahoor Ali Khan et al., “Region Aware Proactive Routing Approaches Exploiting Energy Efficient Paths for Void Hole avoidance in underwater WSNs,” IEEE Access, vol. 7, pp. 140703-140722, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[44] Salvador Climent et al., “Underwater Acoustic Wireless Sensor Net-Works: Advances and Future Trends in Physical, MAC and Routing Layers,” Sensors, vol. 14, no. 1, pp. 795-833, 2014.
[CrossRef] [Google Scholar] [Publisher Link]