Recommended System for Cluster Head Selection in a Remote Sensor Cloud Environment Using the Fuzzy-Based Multi-Criteria Decision-Making Technique

Proshikshya Mukherjee, Prasant Kumar Pattnaik, Ahmed Abdulhakim Al-Absi and Dae-Ki Kang
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Proshikshya Mukherjee: School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar 751024, India
Prasant Kumar Pattnaik: School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar 751024, India
Ahmed Abdulhakim Al-Absi: Department of Smart Computing, Kyungdong University, Gosung, Gangwon-do, Bongpo 24764, Korea
Dae-Ki Kang: Department of Computer & Information Engineering, Dongseo University, 47 Jurye-ro, Sasang-gu, Busan 47011, Korea

Sustainability, 2021, vol. 13, issue 19, 1-16

Abstract: Clustering is an energy-efficient routing algorithm in a sensor cloud environment (SCE). The clustering sensor nodes communicate with the base station via a cluster head (CH), which can be selected based on the remaining energy, the base station distance, or the distance from the neighboring nodes. If the CH is selected based on the remaining energy and the base station is far away from the cluster head, then it is not an energy-efficient selection technique. The same applies to other criteria. For CH selection, a single criterion is not sufficient. Moreover, the traditional clustering algorithm head nodes keep changing in every round. Therefore, the traditional algorithm energy consumption is less, and nodes die faster. In this paper, the fuzzy multi-criteria decision-making (F-MCDM) technique is used for CH selection and a threshold value is fixed for the CH selection. The fuzzy analytical hierarchy process (AHP) and the fuzzy analytical network process (ANP) are used for CH selection. The performance evaluation results exhibit a 5% improvement compared to the fuzzy AHP clustering method and 10% improvement compared to the traditional method in terms of stability, energy consumption, throughput, and control overhead.

Keywords: sensor cloud environment; clustering; fuzzy multi-criteria decision-making; fuzzy analytical hierarchy process; fuzzy analytical network process; energy consumption (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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