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Article type: Research Article
Authors: Devika, M.a; * | Shaby, Maflinb
Affiliations: [a] Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India | [b] Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India
Correspondence: [*] Corresponding author. M. Devika, Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India. E-mail: devikadivya28@gmail.com.
Abstract: One of the major challenge in Wireless Sensor Networks (WSN’s) deployment is efficient energy consumption. Critical distance, proper routing algorithm and error control coding techniques can be used for energy optimization. As WSN contains a large number of power constrained sensors, the sensed data from the environment should be transmitted in a cooperative way to the base station (BS). The pattern of the clustering structure can extend the sensor network life time, reduce the total consumed energy and regulate the data transmission. Clustering concept combines group of sensors which are located in the same communication range. Some of the routing protocol like, SEED, LEACH, SEP, Z-SEP etc., suffers from idle listening problem, which cannot cope with an environment with sensor nodes. It leads to energy wastage across the network. To manage energy efficiency and traffic heterogeneity issues, a new routing protocol called enhanced energy efficient sleep awake aware intelligent sensor network (EEESAA) is proposed. Here, one sensor in each group will be in active mode whereas other sensors entered in sleep mode. Based on the nodes energy, sleep and awake node pairs will be altered. In the proposed method, one slot is allotted for group of pairs. The proposed approach is evaluated and compared against LEACH, SEP and Z-SEP protocols. Simulation results show that EEESAA protocol performs better than LEACH, SEP, Z-SEP in terms of cluster head selection, throughput, number of alive & dead nodes and network lifetime.
Keywords: Wireless sensor network, enhanced energy efficient sleep awake aware intelligent sensor network (EEESAA), low-energy adaptive clustering hierarchy (LEACH), stable election protocol, zonal stable election protocol
DOI: 10.3233/JIFS-224380
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 1, pp. 965-973, 2023
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