Integrated CS-clustering mechanism for network lifetime improvisation in WSN.

Wireless Sensor network has become hub for the industry and academia people due to its vibrant application and various characteristics like low cost, distributable, low-power technology, data compression and especially wireless communication. Moreover, in terms of application, it provides huge diversified monitoring flexibility for several important field like battlefield, agricultural monitoring, medical monitoring and environmental monitoring. Despite of such large application, there has been constant concern regarding the network lifetime and energy consumption is directly responsible for such issue. Meanwhile compressive sensing has been one of the popular data aggregation mechanism to reduce the data redundancy; hence, this research work design and develop a mechanism named ICCM (Integrated CS-clustering mechanism) which incorporates the clustering and compressive sensing mechanism to design and efficient WSN architecture which aims at network lifetime enhancement through Compressive sensing along with clustering. In ICCM approach, Cluster Heads utilize the novel and optimal CS mechanism for data transmission to Base station; further an novel optimized clustering approach is used for efficient clustering, also we design standalone logical link for data transmission. Furthermore, ICCM is evaluated considering the different parameter like network lifetime, energy consumption, functioning node and non-functioning node; also, comparative analysis with the existing model suggest that ICCM simply outperforms the existing model. [ABSTRACT FROM AUTHOR]