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Energy Efficient Sensor Deployment with TCOV and NCON in Wireless Sensor Networks: Energy Efficient Sensor Deployment with TCOV

Energy Efficient Sensor Deployment with TCOV and NCON in Wireless Sensor Networks: Energy Efficient Sensor Deployment with TCOV

Arvind Madhukar Jagtap, Gomathi N.
Copyright: © 2020 |Volume: 11 |Issue: 1 |Pages: 22
ISSN: 1947-3176|EISSN: 1947-3184|EISBN13: 9781799806998|DOI: 10.4018/IJERTCS.2020010101
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MLA

Jagtap, Arvind Madhukar, and Gomathi N. "Energy Efficient Sensor Deployment with TCOV and NCON in Wireless Sensor Networks: Energy Efficient Sensor Deployment with TCOV." IJERTCS vol.11, no.1 2020: pp.1-22. http://doi.org/10.4018/IJERTCS.2020010101

APA

Jagtap, A. M. & Gomathi N. (2020). Energy Efficient Sensor Deployment with TCOV and NCON in Wireless Sensor Networks: Energy Efficient Sensor Deployment with TCOV. International Journal of Embedded and Real-Time Communication Systems (IJERTCS), 11(1), 1-22. http://doi.org/10.4018/IJERTCS.2020010101

Chicago

Jagtap, Arvind Madhukar, and Gomathi N. "Energy Efficient Sensor Deployment with TCOV and NCON in Wireless Sensor Networks: Energy Efficient Sensor Deployment with TCOV," International Journal of Embedded and Real-Time Communication Systems (IJERTCS) 11, no.1: 1-22. http://doi.org/10.4018/IJERTCS.2020010101

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Abstract

In the past years, wireless sensor networks (WSNs) have increased successful real-world deployment in a wide range of civil and military applications. In order to ensure effective environmental sensing and robust communication, the two fundamental issues like TCOV and NCON are the very challenging tasks in WSN. As sensor nodes are battery-operated devices, the wide utilization of WSNs is obstructed by the severely limited energy constraints, this article tackles these kinds of issues by proposing an approach based on the energy model and aims at enhancing the network lifetime by improved balancing the movement and energy losses in the network. This article proposes a design which minimizes the power consumption and movement cost, thus enhancing the network lifetime. Finally, the authors compared the energy efficiency of the proposed approach with that of the existing approach. As such, the proposed AVABC improves the network lifetime by 14.29%, 26.09%, and 14.29% over VABC in response to the varying sensing radius of 5, 10, and 15, respectively.

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