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Enabling Reliable and Resilient IoT Based Smart City Applications

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Smart Societies, Infrastructure, Technologies and Applications (SCITA 2017)

Abstract

Internet of Things (IoT) has emerged as a revolutionary technology that has become an integral part of smart cities. It has numerous, longstanding, economical and safety-critical smart city applications. Data acquisition for IoT applications requires sensor networks. Reliability, Resilience, and Energy conservation are the three most critical wireless sensor requirements. Fault tolerance ensures the reliability and the resilience of the sensor network in case of failures. In this paper, we propose a new taxonomy for fault tolerant technique for wireless sensor networks deployed in an IoT environment, and qualitatively compare some major existing methods and propose a new fault-tolerant routing technique for hierarchical sensor networks. The algorithm is a heterogeneous technique based on Dynamic source routing (DSR), vice cluster heads, energy thresholding and hierarchical sensor networks. The proposed technique was simulated and is compared with current techniques to evaluate its validity and performance.

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Acknowledgments

The authors acknowledge with thanks the technical and financial support from the Deanship of Scientific Research (DSR) at the King Abdulaziz University (KAU), Jeddah, Saudi Arabia, under the grant number G-651-611-38. The work carried out in this paper is supported by the High Performance Computing Center at the King Abdulaziz University, Jeddah.

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Correspondence to Thaha Muhammed .

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Muhammed, T., Mehmood, R., Albeshri, A. (2018). Enabling Reliable and Resilient IoT Based Smart City Applications. In: Mehmood, R., Bhaduri, B., Katib, I., Chlamtac, I. (eds) Smart Societies, Infrastructure, Technologies and Applications. SCITA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-94180-6_17

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  • DOI: https://doi.org/10.1007/978-3-319-94180-6_17

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