An improved energy efficient cluster head selection protocol using the double cluster heads and data fusion methods for IoT applications. (October 2019)

• Record Type: Journal Article
• Authors: Jesudurai, S. Anthony; Senthilkumar, A.
• Is Part Of: Cognitive systems research. Volume 57(2019)
• Page Start: 101
• Page End: 106
• Publication Date: 2019-10
• Subjects: Cluster head -- Wireless sensor networks -- Analog to digital converter; Cognition -- Periodicals; Cognitive engineering (System design) -- Periodicals; Artificial intelligence -- Periodicals; 153.05
• DOI: 10.1016/j.cogsys.2018.10.021
• Languages: English
• ISSNs: 1389-0417

Abstract

Abstract: The more energy consumption is the major issue for wireless sensor network. In wireless sensor network (WSN), sensor nodes are fixed in various routing algorithms. In the same networks, mobile sensor and fixed sensor nodes are combine and its used in few applications. The function is corruption while mobility was achieved, since these nodes have minimum battery power, lower range of communication and a lessor amount of memory. To overcome this issue, Improved Energy Efficient Cluster Head Selection protocol (IEECHS-WSN) is proposed, in these technique is used to transfer the received information by using energy efficient routing protocol. In the CH election method, two cluster heads are selected in a separated cluster and its work in various functions, this can be prolong the network lifetime and decrease the energy consumption of IoT applications. Proposed technique is described on clustering of dual CHs in the method of data fusion for data entropy. This information entropy is used for fusion and classification, the result of fusion and classification are accurate and efficient for data transmission. Our proposed IEECHS protocol has better throughput, lifetime of network and energy consumption compared than the existing technique.