DDCD Algorithm based Energy Efficient Clustering for WSNs

Objectives: In Wireless Sensor Networks (WSNs) the nodes are moving in different geographical conditions and the nodes may be left looked after for a long period of time. So to increase the network life time and to reduce the traffic the energy should be conserved. Energy efficient WSNs will lose for a long period time. Methods/Analysis: To increase network lifetime different methods like data aggregation, cluster head, network coding, correlating data set, etc can be used for correlated data environment. These methods are used to calculate to increase the network lifetime. DDCD (Data Density Correlation Degree) algorithm on wireless sensor network is works as a middleware for aggregating data sustained by a more number of nodes within a network. Findings: The problem encountered in the recent past was of the more battery power consumption. Therefore, this paper proposed the efficient and effective mechanism of energy efficient procedures for data aggregation in wireless sensor network and increase the network lifetime. Application/Improvement: The results of the simulation are acceptable showing the DDCD algorithm to have good performance abilities compared to the Weighted-Low Energy Adaptive Clustering Hierarchy and Ant Colony Optimization algorithms. This process is useful where the sensor nodes are densely established.