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http://hdl.handle.net/2080/4662
Title: | Distributed Environment Monitoring using Minimum Volume Ellipsoid |
Authors: | Sahu, Prabeen Kumar Sahoo, Upendra Kumar Panda, Swarna Laxmi Das, Santos Kumar |
Keywords: | distributed strategy minimum volume ellipsoid Khachiyan's Algorithm environment monitoring energy efficiency |
Issue Date: | Jul-2024 |
Citation: | IEEE SPace, Aerospace and defenCE (SPACE), Bangalore, India, 22-23 July 2024 |
Abstract: | Wireless sensor networks (WSNs) consist of small, battery-operated wireless nodes that are deployed in remote locations. Due to the challenges associated with recharging these batteries, energy efficiency becomes a critical concern in WSNs. In the context of environmental monitoring applications, accurately detecting areas of interest is of utmost importance. Centralized WSN-based environmental monitoring methods typically rely on a fusion center (FC) to process the collected data, resulting significant communication overhead. During environment monitoring, the nodes located near the FC rapidly deplete their energy , while other nodes may still possess ample amount of energy. To address this energy inefficiency, in this work we introduced a novel distributed method. It leverages the minimum volume ellipsoid (MVE) algorithm to calculate an ellipsoid that effectively covers the infraction area in a distributed manner. Furthermore, the proposed method employs Khachiyan's algorithm to optimize the ellipsoid's size. By transmitting the ellipsoid information to the FC, the power efficiency of the network is substantially enhanced. Through rigorous simulation-based experiments, the efficacy of the proposed method is thoroughly evaluated and verified. The results demonstrate significant improvements in power efficiency and energy conservation within the network. |
Description: | Copyright belongs to proceeding publisher |
URI: | http://hdl.handle.net/2080/4662 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2024_IEEE-SPACE_PKSahu_Distributed.pdf | 5.73 MB | Adobe PDF | View/Open Request a copy |
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