An Energetic Cluster Head Selection with Hand-Over Strategy for Un-Balanced Energy Consumption in Wireless Sensor Networks

An Energetic Cluster Head Selection with Hand-Over Strategy for Un-Balanced Energy Consumption in Wireless Sensor Networks

© 2022 by IJETT Journal
Volume-70 Issue-6
Year of Publication : 2022
Authors : C. Sudha, D. Suresh, A. Nagesh
DOI : 10.14445/22315381/IJETT-V70I6P215

How to Cite?

C. Sudha, D. Suresh, A. Nagesh, "An Energetic Cluster Head Selection with Hand-Over Strategy for Un-Balanced Energy Consumption in Wireless Sensor Networks," International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 122-128, 2022. Crossref,

Wireless sensor networks play an important role in our daily lives by improving technologies for home automation, healthcare, temperature regulation, and energy use management, among other things. Energy usage is undeniably a massive and risky liability in real-world WSN applications. There are numerous clustering algorithms introduced for heterogeneous WSN. Clustering provides an effective solution to the sensor node's unbalanced load problem. We introduced even no sensor nodes for all clusters. This paper builds unique size clusters. This work's preliminary contribution was enacting an Efficient Cluster Creation with even no. Sensor nodes can expand the network lifetime and throughput of wireless sensor networks. We developed An Energetic Cluster Head selection with a hand-over Strategy using a counter node or Transportable sink after forming a uniform size cluster. This strategy is useful in resolving unstable energy consumption for each sensor node. The Network's lifetime was reduced as a result of unbalanced energy consumption. Our proposed strategy aids in maintaining unique energy consumption for each sensor node.
Furthermore, using a counter node during the hand-over stage reduces Transmission delay diagonally to the Network. We compared our proposed algorithm to the Existing Mechanism SBCH by the Network Simulator 3.30. As with an existing system, our algorithm ensures that nearly 84.6 percent of sensor nodes have Remaining Energy of 0.41J to 0.62J and a 34.5 percent improvement in a lifetime. Energy utilization is even across all sensor nodes in our proposed system strategy, paving the way for WSN durability to increase.

Wireless sensor network (WSN), Lifespan, Energy Utilization, CH, Hand-over.

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