A new energy-efficient unequal clustering algorithm for wireless sensor networks

2011 ◽  
Author(s):  
Huiyong Yuan ◽  
Yongyi Liu ◽  
Jianping Yu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Wireless Sensor ◽  
Unequal Clustering ◽  
New Energy

Distributed Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks

2011 ◽  
Vol 186 ◽  
pp. 225-229
Author(s):  
Chang Jiang Jiang ◽  
Wei Ren Shi ◽  
Min Xiang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Base Station ◽  
Wireless Sensor ◽  
Distributed Energy ◽  
Unequal Clustering ◽  
Multihop Routing ◽  
Cluster Heads

Unequal clustering mechanism, in combination with inter-cluster multihop routing, provides a new effective way to balance the energy dissipation among nodes and prolong the lifetime of wireless sensor networks. In this paper, a distributed energy-efficient unequal clustering mechanism (DEEUC) is proposed and evaluated. By a time based competitive clustering algorithm, DEEUC partitions all nodes into clusters of unequal size, in which the clusters closer to the base station have smaller size. The cluster heads of these clusters can preserve some more energy for the inter-cluster relay traffic and the “hot-spots” problem can be avoided. For inter-cluster communication, DEEUC adopts an energy-aware multihop routing to reduce the energy consumption of the cluster heads. Simulation results demonstrate that the protocol can efficiently decrease the dead speed of the nodes and prolong the network lifetime

scholarly journals A Novel Energy Efficient Clustering Algorithm for Wireless Sensor Networks

2017 ◽  
Vol 7 (4) ◽  
pp. 1775-1780 ◽  
Author(s):  
S. P. Singh ◽  
S. C. Sharma
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Clustering Algorithm ◽  
Wireless Sensor ◽  
System Throughput ◽  
Delivery Ratio ◽  
New Energy ◽  
Cluster Distance ◽  
Energy Efficient Clustering

Wireless sensor networks (WSNs) are composed of huge amount of tiny resource constrained devices known as sensors. The demand for an energy efficient structure is becoming gradually more essential in WSNs. Energy efficient clustering is a distinguished optimization problem which has been studied extensively to expand the life span of WSNs. In this manuscript, a new energy efficient clustering scheme for WSNs with the use of Particle Swarm Optimization (PSO) is proposed. The clustering algorithm is implemented with the goal of concurrently minimizing the intra-cluster distance along with optimizing the usage of network energy. The presented algorithm is tested widely and results are analyzed and compared with previous ones to show the supremacy in term of alive nodes, energy consumption, packet delivery ratio, and system throughput. Simulation results show that the proposed algorithm outperforms other existing algorithms.

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