Development of information collection scheme in internet of things environment for intelligent radiation monitoring systems
Mohamed I. Gaber (),
Ashraf A. M. Khalaf,
Imbaby I. Mahmoud and
Mohamed S. El_Tokhy
Additional contact information
Mohamed I. Gaber: Nuclear Research Center, Atomic Energy Authority
Ashraf A. M. Khalaf: Minia University
Imbaby I. Mahmoud: Atomic Energy Authority
Mohamed S. El_Tokhy: Nuclear Research Center, Atomic Energy Authority
Telecommunication Systems: Modelling, Analysis, Design and Management, 2021, vol. 76, issue 1, No 4, 33-48
Abstract:
Abstract The new revolution in computing and wireless communications technologies led to Internet of Things (IoT). Information collection scheme performs an important role for energy efficient utilization and latency awareness in IoT environments. The enhancement of an effectual information collection scheme is crucial to improve the overall performance of the internet of things applications. In this paper, the proposed information collection scheme aimed to enhance the confidence regarding any captured measurements under IoT environment. The scheme can verify the selection of optimal information collection routes through using the Dijkstra algorithm. It depends on selecting the preferable IoT devices (collectors) with optimal paths in efficient energy utilization. The IoT devices (sources) have to elect whichever a preferable collector can deliver the captured information with an endeavour to sense the latest contextual information. They elect the optimal collectors through implicit and explicit solutions. Also, it considers different failure conditions to specify the optimal collection time for furtherance scalability of IoT environment. The simulation results show the ability of our scheme to improve the performance in terms of network lifetime, energy consumption, and reliability.
Keywords: Internet of things (IoT); Radiation monitoring; Information collection scheme; Network lifetime (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11235-020-00697-3
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