A Coverage and Connectivity Approach to Node Optimum Clustering in Wireless Sensor Networks

Abstract

There is always an important topic to extend the whole lifetime in wireless network environment. The paper has to struggle the following design and consideration. How to make use of the consumption of the limited energy in the sensor nodes? How to obtain the sensor node number of the optimum cluster? How to upgrade the efficiency and quality of the information transmission? This paper proposes an optimum node number on clustering-based routing protocol called CCOC (Coverage and Connectivity approach to node Optimum Clustering), which utilizes a node of optimum coverage and connectivity to transmit another node and calculated a optimum cluster of nodes number. In this article, the CCOC, which distributes the energy dissipation evenly among all sensor nodes improves network lifetime and average energy savings. The performance of CCOC is then compared to clustering-based schemes such as Low-Energy Adaptive Clustering Hierarchy (LEACH). Simulation results show that CCOC improves network lifetime and reduces whole average of energy consumption.