AN EFFICIENT METAHEURISTIC-BASED CLUSTERING WITH ROUTING PROTOCOL FOR UNDERWATER WIRELESS SENSOR NETWORKS

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks

An Efficient Metaheuristic-Based Clustering with Routing Protocol for Underwater Wireless Sensor Networks

Blog Article

In recent years, the underwater wireless sensor network (UWSN) has received a significant SOCIAL CONDITIONS AND MATERNAL CONDUCTS IN THE PREVENTION AND MANAGEMENT OF INFANTILE DIARRHEA interest among research communities for several applications, such as disaster management, water quality prediction, environmental observance, underwater navigation, etc.The UWSN comprises a massive number of sensors placed in rivers and oceans for observing the underwater environment.However, the underwater sensors are restricted to energy and it is tedious to recharge/replace batteries, resulting in energy efficiency being a major challenge.

Clustering and multi-hop routing protocols are considered energy-efficient solutions for UWSN.However, the cluster-based routing protocols for traditional wireless networks could not be feasible for UWSN owing to the underwater current, low bandwidth, high water pressure, propagation delay, and error probability.To resolve these issues and achieve energy efficiency in UWSN, this study focuses on designing the metaheuristics-based clustering with a routing protocol for UWSN, named MCR-UWSN.

The goal of the MCR-UWSN technique is to elect an efficient set of cluster heads (CHs) and route to destination.The MCR-UWSN technique involves the designing of cultural emperor penguin optimizer-based clustering (CEPOC) techniques to construct clusters.Besides, the multi-hop routing technique, alongside the grasshopper optimization (MHR-GOA) technique, is derived using multiple input parameters.

The performance of Post-Marxist Philosophy of Language: In Search of Symbolic Basis of Power and Emancipation the MCR-UWSN technique was validated, and the results are inspected in terms of different measures.The experimental results highlighted an enhanced performance of the MCR-UWSN technique over the recent state-of-art techniques.

Report this page