Smart Societies, Infrastructure, Technologies and Applications. First International Conference, SCITA 2017, Jeddah, Saudi Arabia, November 27–29, 2017, Proceedings

Research Article

Enabling Reliable and Resilient IoT Based Smart City Applications

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  • @INPROCEEDINGS{10.1007/978-3-319-94180-6_17,
        author={Thaha Muhammed and Rashid Mehmood and Aiiad Albeshri},
        title={Enabling Reliable and Resilient IoT Based Smart City Applications},
        proceedings={Smart Societies, Infrastructure, Technologies and Applications. First International Conference, SCITA 2017, Jeddah, Saudi Arabia, November 27--29, 2017, Proceedings},
        proceedings_a={SCITA},
        year={2018},
        month={7},
        keywords={Smart-city IoT WSN Reliability Fault tolerance Energy Routing},
        doi={10.1007/978-3-319-94180-6_17}
    }
    
  • Thaha Muhammed
    Rashid Mehmood
    Aiiad Albeshri
    Year: 2018
    Enabling Reliable and Resilient IoT Based Smart City Applications
    SCITA
    Springer
    DOI: 10.1007/978-3-319-94180-6_17
Thaha Muhammed1,*, Rashid Mehmood1,*, Aiiad Albeshri1,*
  • 1: King Abdulaziz University
*Contact email: m.thaha.h@ieee.org, rmehmood@kau.edu.sa, aaalbeshri@kau.edu.sa

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.