Energy efficient dynamic clustering routing protocol in underwater wireless sensor networks

RM Gomathi, JML Manickam… - … of Networking and …, 2020 - inderscienceonline.com
International Journal of Networking and Virtual Organisations, 2020inderscienceonline.com
In underwater wireless sensor networks (UWSN) energy control is a vital issue. Few UWSN
applications include both dynamic and static sensor nodes within the same networks. The
mobility of dynamic nodes can lead to performance related issues as these nodes include
small memory, battery power, short range communication, and low speed calculation ability.
Hence, an energy efficient routing protocol is important to direct the incoming packet.
Dynamic cluster technology utilising cluster based network arrangement is mainly learned in …
In underwater wireless sensor networks (UWSN) energy control is a vital issue. Few UWSN applications include both dynamic and static sensor nodes within the same networks. The mobility of dynamic nodes can lead to performance related issues as these nodes include small memory, battery power, short range communication, and low speed calculation ability. Hence, an energy efficient routing protocol is important to direct the incoming packet. Dynamic cluster technology utilising cluster based network arrangement is mainly learned in routing protocol. In this paper, proposed a unique routing algorithm called as energy efficient and mobility-based dynamic cluster head selection routing protocol (EE-MDCHSRP) is suggested for UWSN for successful dynamic cluster head choices. The dynamic cluster-head nodes are determined considering the factors including node density, remaining energy and least mobility factor. Simulation test and data analysis results prove that the overall performance of proposed or projected routing method is 96.98% more effective when compared to existing routing protocols of the UWSN, and it was simulated in Linux-based Network Simulator 2 (NS2) simulation software environment. This research work helps us to reduce power consumption, response time and avoid overload, improve the throughput and network lifetime.
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