期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：12
页码：477-487
出版社：Science and Information Society (SAI)
摘要：The Wireless Sensor Network (WSN) has found an
extensive variety of applications, which include battlefield
surveillance, monitoring of environment and traffic, modern
agriculture due to their effectiveness in communication.
Clustering is one of the significant mechanisms for enhancing the
lifespan of the network in WSN. This clustering scheme is
exploited to improve the sensor network’s lifespan by decreasing
the network’s energy consumption and increasing the stability of
the network. The existing cluster head selection algorithm suffers
from the inconsistent tradeoffs between exploration –
exploitation and global search constraints. Therefore, in this
research, the hybridization of two popular optimization
algorithms, namely, Harmony Search Algorithm (HSA) and
Squirrel Search Algorithm (SSA) is executed for optimal
selection of cluster heads in WSN with respect to distance and
energy. The proposed Hybrid Squirrel Harmony Search
Algorithm (HSHSA) is found to be energy efficient when
compared with first node death (FND) and last node death (LND)
of existing Cluster Head Selection (CHS) techniques. In addition
to this, the proposed HSHSA shows enhancements in overall
throughput and residual energy of the wireless sensor network
by 31.02% and 85.69%, respectively than the existing algorithms.
