Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks

Azamuddin, Abdul Rahman and M. N. M., Kahar and Wan Isni Sofiah, Wan Din (2020) Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks. Indonesian Journal of Electrical Engineering and Computer Science, 18 (3). pp. 1424-1431. ISSN 2502-4752. (Published)

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Wireless Sensor Networks (WSNs) are defined as networks of nodes that work in a cooperative way in order to sense and control the surrounding environment. Several WSNs algorithms have been proposed by utilizing the Fuzzy Logic technique to select the cluster heads (CHs). Each technique employs a different combination of input parameters such as nodes density, communication cost, and residual energy. CHs determination is critical towards this goal, whereas the combination of input parameters is expected to play an important role. Nevertheless, the received signal strength (RSSI) is one of the main criteria which get little attention from researchers on the topic of CHs selection. In this study, an RSSI based scheme was proposed which utilizes Fuzzy Logic approach in order to be combined with residual energy and centrality of the fuzzy descriptor. In order to evaluate the proposed scheme, the performance Multi-Tier Protocol (MAP) and Stable Election Protocol (SEP) were compared. The simulation results show that the proposed approach has significantly prolonged the survival time of the network against SEP and MAP, while effectively decelerating the dead process of sensor nodes.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Fuzzy logic; RSSI; Cluster head; Wireless sensor network
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 12 Nov 2020 04:11
Last Modified: 12 Nov 2020 04:11
URI: http://umpir.ump.edu.my/id/eprint/29895
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