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Open AccessArticle

Towards Network Lifetime Enhancement of Resource Constrained IoT Devices in Heterogeneous Wireless Sensor Networks

1
Department of Electronics & Computer Engineering, Hongik University, Sejong City 30016, Korea
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Department of Computer Engineering, College of IT Convergence, Gachon University, Seongnam 13120, Korea
3
Electronics and Telecommunications Research Institute, Daejeon 34129, Korea
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Department of Software and Communications Engineering, Hongik University, Sejong City 30016, Korea
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(15), 4156; https://doi.org/10.3390/s20154156
Received: 30 May 2020 / Revised: 10 July 2020 / Accepted: 22 July 2020 / Published: 26 July 2020
The participating nodes in Wireless Sensor Networks (WSNs) are usually resource-constrained in terms of energy consumption, storage capacity, computational capability, and communication range. Energy is one of the major constraints which requires an efficient mechanism that takes into account the energy consumption of nodes to prolong the network lifetime. Particularly in the large scale heterogeneous WSNs, this challenge becomes more critical due to high data collection rate and increased number of transmissions. To this end, clustering is one of the most popular mechanisms which is being used to minimize the energy consumption of nodes and prolong the lifetime of the network. In this paper, therefore, we propose a robust clustering mechanism for energy optimization in heterogeneous WSNs. In the proposed scheme, nodes declare themselves as cluster head (CH) based on available resources such as residual energy, available storage and computational capability. The proposed scheme employs the multi criteria decision making technique named as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) which allows the child nodes to select the optimal CH among several potential CH candidates. Moreover, we also propose mechanisms such as CH-acquaintanceship and CH-friendship in order to prolong the network lifetime. Simulation results show that our proposed scheme minimizes the control overhead, reduces the power consumption and enhances overall lifetime of the network by comparing with the most recent and relevant proposed protocol for WSNs. View Full-Text
Keywords: clustering; energy consumption; MAC; TOPSIS; WSNs; internet of things; network lifetime; load-balancing clustering; energy consumption; MAC; TOPSIS; WSNs; internet of things; network lifetime; load-balancing
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din, M.S.; Rehman, M.A.U.; Ullah, R.; Park, C.-W.; Kim, B.S. Towards Network Lifetime Enhancement of Resource Constrained IoT Devices in Heterogeneous Wireless Sensor Networks. Sensors 2020, 20, 4156.

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