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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 5790161, 12 pages
Research Article

Energy-Efficient Unequal Chain Length Clustering for Wireless Sensor Networks in Smart Cities

School of Computer Science & Engineering, Soongsil University, Seoul, Republic of Korea

Correspondence should be addressed to Jiman Hong

Received 25 April 2017; Accepted 1 August 2017; Published 7 September 2017

Academic Editor: Syed Hassan Ahmed

Copyright © 2017 Mohammad Baniata and Jiman Hong. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The recent advances in sensing and communication technologies such as wireless sensor networks (WSN) have enabled low-priced distributed monitoring systems that are the foundation of smart cities. These advances are also helping to monitor smart cities and making our living environments workable. However, sensor nodes are constrained in energy supply if they have no constant power supply. Moreover, communication links can be easily failed because of unequal node energy depletion. The energy constraints and link failures affect the performance and quality of the sensor network. Therefore, designing a routing protocol that minimizes energy consumption and maximizes the network lifetime should be considered in the design of the routing protocol for WSN. In this paper, we propose an Energy-Efficient Unequal Chain Length Clustering (EEUCLC) protocol which has a suboptimal multihop routing algorithm to reduce the burden on the cluster head and a probability-based cluster head selection algorithm to prolong the network lifetime. Simulation results show that the EEUCLC mechanism enhanced the energy balance and prolonged the network lifetime compared to other related protocols.