@Article{cmc.2020.08851,
AUTHOR = {Nithya Rekha Sivakumar},
TITLE = {Stabilizing Energy Consumption in Unequal Clusters of Wireless Sensor Networks},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {1},
PAGES = {81--96},
URL = {http://www.techscience.com/cmc/v64n1/39132},
ISSN = {1546-2226},
ABSTRACT = {In the past few decades, Energy Efficiency (EE) has been a significant challenge 
in Wireless Sensor Networks (WSNs). WSN requires reduced transmission delay and 
higher throughput with high quality services, it further pays much attention in increased 
energy consumption to improve the network lifetime. To collect and transmit data 
Clustering based routing algorithm is considered as an effective way. Cluster Head (CH) 
acts as an essential role in network connectivity and perform data transmission and data 
aggregation, where the energy consumption is superior to non-CH nodes. Conventional 
clustering approaches attempts to cluster nodes of same size. Moreover, owing to randomly 
distributed node distribution, a cluster with equal nodes is not an obvious possibility to 
reduce the energy consumption. To resolve this issue, this paper provides a novel, 
Balanced-Imbalanced Cluster Algorithm (B-IBCA) with a Stabilized Boltzmann Approach 
(SBA) that attempts to balance the energy dissipation across uneven clusters in WSNs. BIBCA utilizes stabilizing logic to maintain the consistency of energy consumption among 
sensor nodes’. So as to handle the changing topological characteristics of sensor nodes, this 
stability based Boltzmann estimation algorithm allocates proper radius amongst the sensor 
nodes. The simulation shows that the proposed B-IBCA outperforms effectually over other 
approaches in terms of energy efficiency, lifetime, network stability, average residual 
energy and so on.},
DOI = {10.32604/cmc.2020.08851}
}