Abstract—Smart cities are considered to be one of the most important applications of the IoT notion. Most smart city applications rely fundamentally on ubiquitous sensing, enabled by Wireless Sensor Network (WSN) technologies. These sensor networks are vulnerable to different challenges that cause failures in some parts of the network, which in turn interfere with the availability of network services and weaken the user experience. In this paper, we introduce a graph-theoretic model of wireless sensor networks used in smart cities. Moreover, we present several challenges, such as natural disasters and random failures and evaluate the system's performance in terms of data delivery, end to end delay, and energy consumption. The evaluation results show that fire is the challenge that causes the most damage among the three challenges examined, while random failure has the least effect on network performance. The results also show that the modeled WSN's can cope well with the challenge of random failures.

Index Terms—IoT, network performance analysis, network resilience, smart city, WSN.

Sarah Lafi Aljohani, Mohammed J. F. Alenazi are with Department of Computer Engineering, King Saud University, Riyadh 11543, Saudi Arabia.

Cite:Sarah Lafi Aljohani, Mohammed J. F. Alenazi, "Evaluation of WSN's Resilience to Challenges in Smart Cities," International Journal of Computer and Communication Engineering vol. 9, no. 4, pp. 193-206, 2020.

Copyright © 2020 by the authors. 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 (CC BY 4.0).