EGEC: An Energy Efficient Exponentially Generated Clustering Mechanism for Reactive Wireless Sensor Networks
Author(s) -
P Sundareswaran,
R.S. Rajesh,
K N Vardharajulu
Publication year - 2018
Publication title -
international journal of wireless and microwave technologies
Language(s) - English
Resource type - Journals
eISSN - 2076-9539
pISSN - 2076-1449
DOI - 10.5815/ijwmt.2018.06.05
Subject(s) - wireless sensor network , key distribution in wireless sensor networks , computer network , computer science , cluster analysis , energy consumption , mobile wireless sensor network , throughput , sink (geography) , wireless network , wireless , distributed computing , engineering , geography , telecommunications , artificial intelligence , cartography , electrical engineering
As most of the wireless sensor networks are unattended by humans, the energy is an important issue while deploying nodes of wireless sensor network in hazardous environments. One of the method to preserve energy consumption among sensor nodes is clustering. Using clustering, the nodes send the data to the nearest cluster head instead of far away sink. In applications using reactive wireless sensor networks, a limited number of sensor nodes are activated due to exceed in threshold values and the other nodes are under idle state. As far as the reactive wireless sensor network is concerned, the number of clusters would have been based on the number of active nodes and alive nodes. In this work, an optimum number of clusters is computed based on the ratio between active nodes and alive nodes. Extensive analysis and comparisons are made with existing protocol and found that the proposed methodology outperforms the existing protocol in terms of networks life time and throughput.
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