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ISSN 2063-5346
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DEVELOPING AN ENERGY-EFFICIENT SCHEME FOR CONNECTED COVERAGE IN WIRELESS SENSOR NETWORKS

Main Article Content

Yashwanth N, U.Nilabar Nisha, M. Arun, Anushya K, Abhijit Bhakuni, K. G. S. Venkatesan
» doi: 10.31838/ecb/2023.12.s3.315

Abstract

Wireless sensor networks (W-S-Ns) have become increasingly popular in recent years due to their ability to collect data from various environments and transmit it wirelessly to a central location. However, energy efficiency is a critical issue in W-S-Ns, as sensors typically rely on battery power, which limits their operational lifespan. Specifically, we use an ant colony optimization (ACO) system to dynamically allocate tasks to a group of robots in a multi-robot system. The ACO algorithm considers factors such as energy consumption, communication cost, and data accuracy to find an optimal allocation that balances these factors. We gauge the enactment of the proposed scheme through simulations using MATLAB. The results show that the scheme achieves significant energy savings compared to traditional coverage schemes. In addition, the scheme improves coverage connectivity, which reduces data loss and improves data accuracy. Furthermore, we compare the proposed scheme to existing energy-efficient coverage schemes, including time-driven and event-driven scheduling methods. In conclusion, the proposed energy-efficient scheme for connected coverage in W-S-Ns utilizing task allocation in multi-robot systems provides a promising solution to address energy efficiency challenges in W-S-Ns. The scheme achieves significant energy savings while maintaining coverage connectivity and data accuracy.

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