EH-IRSP: Energy Harvesting Based Intelligent Relay Selection Protocol

Underwater Sensor Networks (UWSNs) are deployed to monitor various phenomena in marine environment such as pollution control, fuel exploration and underwater seismic activities. Various challenges such as, limited and non-replaceable batteries in sensor nodes, high path loss and high propagation delay exist for UWSNs, to name a few. Successful design deployment of an energy efficient routing scheme is an intense need of the day for successful operation of UWSNs. In this paper we have presented an energy efficient routing protocol by the name of Energy Harvesting Intelligent Relay Selection Protocol (EH-IRSP). The scheme uses task-specific energy harvested relay nodes using piezoelectric technique utilizing dynamic transmission radius incorporated in all sensor nodes. EH-IRSP protocol is compared with existing UWSNs protocols Cooperative UWSN (Co-UWSN) and Energy Harvested Analytical approach towards Reliability with Cooperation for Underwater WSNs (EH-ARCUN). The Co-UWSN focuses on strengthening the sound-to-noise ratio on the minimum distance communication channel in order to reduce the path loss. The EH-ARCUN scheme selects relay nodes based on energy harvesting level in combination with Amplify and Forward (AF) technique. The proposed scheme employs a Euclidean distance between the source-destination and source-relay nodes pairs. Each source node selects the most feasible energy harvested relay node by computing cosine of the angles between itself, relay node, and destination nodes and sends the data using cooperative communication. Based on these computed parameters, each source node adjusts its transmission radius hence conserving energy. Performance parameters for this comparison are based on stability period, packet delivery ratio, end-to-end delay and path loss. Simulation results show enhanced performance of proposed scheme EH-IRSP in contrast to Co-UWSN and EH-ARCUN.

[1]  Heonshik Shin,et al.  Energy-Aware Hierarchical Topology Control for Wireless Sensor Networks with Energy-Harvesting Nodes , 2015, Int. J. Distributed Sens. Networks.

[2]  Robert J. Urick,et al.  Principles of underwater sound , 1975 .

[3]  Nadeem Javaid,et al.  MobiSink: Cooperative Routing Protocol for Underwater Sensor Networks with Sink Mobility , 2016, 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA).

[4]  Roberto Petroccia,et al.  CARP: A Channel-aware routing protocol for underwater acoustic wireless networks , 2015, Ad Hoc Networks.

[5]  Zhenglin Li,et al.  Effects of rough surface on sound propagation in shallow water , 2019, Chinese Physics B.

[6]  Luc Vandendorpe,et al.  Adaptive Compress-and-Forward Relaying in Fading Environments with or without Wyner-Ziv Coding , 2009, 2009 IEEE International Conference on Communications.

[7]  Junaid Qadir,et al.  Energy Balanced Localization-Free Cooperative Noise-Aware Routing Protocols for Underwater Wireless Sensor Networks , 2019, Energies.

[8]  Muhammed Enes Bayrakdar,et al.  Cooperative communication based access technique for sensor networks , 2020, International Journal of Electronics.

[9]  Azzedine Boukerche,et al.  Exploiting Mobility to Improve Underwater Sensor Networks , 2018, MobiWac.

[10]  Nadeem Javaid,et al.  DRADS: depth and reliability aware delay sensitive cooperative routing for underwater wireless sensor networks , 2019, Wirel. Networks.

[11]  S. Bilgen,et al.  Remotely Powered Underwater Acoustic Sensor Networks , 2012, IEEE Sensors Journal.

[12]  Alessandro Casavola,et al.  Long lasting underwater wireless sensors network for water quality monitoring in fish farms , 2017, OCEANS 2017 - Aberdeen.

[13]  Nadeem Javaid,et al.  ARCUN: Analytical Approach towards Reliability with Cooperation for Underwater WSNs , 2015, ANT/SEIT.

[14]  Seyed Mohammad Ghoreyshi,et al.  A Novel Cooperative Opportunistic Routing Scheme for Underwater Sensor Networks , 2016, Sensors.

[15]  Nadeem Javaid,et al.  Co-UWSN: Cooperative Energy-Efficient Protocol for Underwater WSNs , 2015, Int. J. Distributed Sens. Networks.

[16]  Nadeem Javaid,et al.  Exploiting Outage and Error Probability of Cooperative Incremental Relaying in Underwater Wireless Sensor Networks , 2016, Sensors.

[17]  B. Sai Srujana,et al.  Multi-source Energy Harvesting System for Underwater Wireless Sensor Networks , 2015 .

[18]  Nadeem Javaid,et al.  Region based cooperative routing in underwater wireless sensor networks , 2017, J. Netw. Comput. Appl..

[19]  Nadeem Javaid,et al.  SPARCO: Stochastic Performance Analysis with Reliability and Cooperation for Underwater Wireless Sensor Networks , 2016, J. Sensors.

[20]  Syed Ali Hassan,et al.  On Underwater Wireless Sensor Networks Routing Protocols: A Review , 2020, IEEE Sensors Journal.

[21]  Muhammad Imran,et al.  Co-EEORS: Cooperative Energy Efficient Optimal Relay Selection Protocol for Underwater Wireless Sensor Networks , 2018, IEEE Access.

[22]  Stefano Basagni,et al.  Harnessing HyDRO: Harvesting-aware Data ROuting for Underwater Wireless Sensor Networks , 2018, MobiHoc.

[23]  Mushtaq Khan,et al.  Energy harvesting based routing protocol for underwater sensor networks , 2019, PloS one.

[24]  Guangzhong Liu,et al.  An Energy-Efficient Routing Algorithm for Underwater Wireless Sensor Networks Inspired by Ultrasonic Frogs , 2014, Int. J. Distributed Sens. Networks.

[25]  Nadeem Javaid,et al.  Clustering Depth Based Routing for Underwater Wireless Sensor Networks , 2016, 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA).