An Energy Efficient Dynamic Clustering Protocol Based on Weight in Wireless Sensor Networks

Abstract

<p class="Abstract">Nodes in most wireless sensor networks (WSNs) are powered by batteries with limited energy. Prolonging network lifetime and saving energy are two critical issues for WSNs. Clustering is an effective technique to improve the energy efficiency and prolong network lifetime of wireless sensor networks. In this paper, an energy efficient dynamic clustering protocol (EEDCP) based on weight for wireless sensor networks is proposed, which is able to dramatically prolong network lifetime and save energy. In the EEDCP, we introduce the typical energy model to compute energy consumption, virtual grid technology to construct cluster and a long sleeping state to reduce energy consumption. In addition, we use the value of weight to measure the size of residual energy instead of voting, which can significant reduce the voting times and the number of transmitting information. Further, simulation experiments are conducted to compare the EEDCP with some well-known clustering algorithms and simulation results show that the proposed method overcomes the existing methods in the aspects of energy consumption and network lifetime in wireless sensor networks.</p

A Comprehensive Survey on Energy Efficient Adaptive Cluster Based Algorithm for Multihop Heterogenous Wireless Sensor Networks

“…These cluster head nodes are always active and performs sensing, gathering and transmitting data to the base station. The other nodes in the cluster can go to sleep mode (Zhang and Wang, 2011).…”

“…If we have minimum number of clusters, then most of the nodes will be in sleep mode there by achieving energy efficiency. This problem is said to be minimum dominating set problem (Zhang and Wang, 2011).…”

Energy-Balanced Distributed Clustering Algorithm in Wireless Sensor Networks

“…The same topology is used for all simulated protocols (or algorithms) like UVDC and LEACH. In EBDC, according to formula (1)(2)(3)(4)(5)(6) to compute the residual energy and formula (7)(8)(9)(10)(11)(12)(13)(14)to compute probability. Obviously, the first set of cluster heads are taken randomly.…”

“…Additionally, it has to take into account the multi-hop communication nature. Communication in a WSN between any two nodes that are out of one another's transmission range is achieved through intermediate nodes, which relay messages to set up a communication channel between the two nodes [3,4].…”