Energy-efficient wireless sensor network with an unequal clustering protocol based on a balanced energy method (EEUCB)

Jasim, Ahmed A. and Idris, Mohd Yamani Idna and Azzuhri, Saaidal Razalli and Issa, Noor Riyadh and Rahman, Muhammad Towfiqur and Khyasudeen, Muhammad Farris b (2021) Energy-efficient wireless sensor network with an unequal clustering protocol based on a balanced energy method (EEUCB). Sensors, 21 (3). ISSN 1424-8220, DOI https://doi.org/10.3390/s21030784.

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Abstract

A hot spot problem is a problem where cluster nodes near to the base station (BS) tend to drain their energy much faster than other nodes due to the need to perform more communication. Unequal clustering methods such as unequal clustering routing (UDCH) and energy-efficient fuzzy logic for unequal clustering (EEFUC) have been proposed to address this problem. However, these methods only concentrate on utilizing residual energy and the distance of sensor nodes to the base station, while limited attention is given to enhancing the data transmission process. Therefore, this paper proposes an energy-efficient unequal clustering scheme based on a balanced energy method (EEUCB) that utilizes minimum and maximum distance to reduce energy wastage. Apart from that, the proposed EEUCB also utilizes the maximum capacity of node energy and double cluster head technique with a sleep-awake mechanism. Furthermore, EEUCB has devised a clustering rotation strategy based on two sub-phases, namely intra- and inter-clustering techniques, that considers the average energy threshold, average distance threshold, and BS layering node. The performance of the proposed EEUCB protocol is then compared with various prior techniques. From the result, it can be observed that the proposed EEUCB protocol shows lifetime improvements of 57.75%, 19.63%, 14.7%, and 13.06% against low-energy adaptive clustering hierarchy (LEACH), factor-based LEACH FLEACH, EEFUC, and UDCH, respectively.

Item Type: Article
Funders: Faculty of Computer Science and the Information Technology University of Malaya, RU Grant (BK032-2018), Impact Oriented Interdisciplinary Research Grant (IIRG) (IIRG003(A, B, C)-19IISS)
Uncontrolled Keywords: Wireless sensor networks; Unequal clustering; Energy consumption; Network lifetime
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms Zaharah Ramly
Date Deposited: 07 Apr 2022 03:43
Last Modified: 07 Apr 2022 03:44
URI: http://eprints.um.edu.my/id/eprint/28337

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