EECDC: An energy Efficient and Coverage-Aware Distributed Clustering Protocol for Wireless Sensor Networks
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International Journal of Engineering Trends and Technology (IJETT) | 
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| © 2018 by IJETT Journal | ||
| Volume-62 Number-1 |
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| Year of Publication : 2018 | ||
| Authors : A. Maizate, S. Aouad |
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| DOI : 10.14445/22315381/IJETT-V62P203 |
Citation
MLA Style: A. Maizate, S. Aouad "EECDC: An energy Efficient and Coverage-Aware Distributed Clustering Protocol for Wireless Sensor Networks" International Journal of Engineering Trends and Technology 62.1 (2018): 10-14.
APA Style:A. Maizate, S. Aouad (2018). EECDC: An energy Efficient and Coverage-Aware Distributed Clustering Protocol for Wireless Sensor Networks. International Journal of Engineering Trends and Technology, 62(1), 10-14.
Abstract
Despite the developments of a few years wireless sensor networks, several constraints continue to limit their development and degrade the performance of their applications and services. Due to their limited power and signal range, some or all of the sensors may stop functioning, leading to the deterioration of network functionality such as monitoring, detection and data transfer. These networks require robust wireless communication protocols that are energy efficient. Thus, it is a challenge for the self organization protocols to provide network survivability and redundancy features. In this paper, we present a novel clustering algorithm called EECDC (An energy efficient and coverage-aware distributed clustering protocol for wireless sensor networks), which aims to improve the applications performance and the quality of service (QoS) by exploiting geometry techniques. Better coverage, energy efficiency, minimum traffic from nodes to base station, balanced energy consumption are the main features of EECDC to improve life time of WSN. Simulation results confirm that EECDC is effective in prolonging the network lifetime as well as in improving the network coverage.
Reference
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Keywords
Wireless Sensor Network; Self-Organization; ClusterHead; Clustering; energyefficiency; network coverage.