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IOT Based Sensor Monitoring System for Smart Complex and Shopping Malls

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Mobile Networks and Management (MONAMI 2021)

Abstract

Wireless Sensor Network (WSN) plays a significant role in smart offices/workplaces and academic research nowadays. Due to the vast range of technologies research is being conducted in the domain such as environmental monitoring, human safety, military operations, intelligent remote monitoring, shopping malls, smart complex, healthcare etc. Clustering is a technique through which the efficiency of network is enhanced. Two Stage Energy Efficient Routing Protocol (TS-EERP) is proposed, which divides the network into different levels. Increasing the number of Cluster Head (CH) nodes at various levels improves the Residual Energy (RE) of cluster nodes/nodes. The aim of the paper is to develop an efficient CH selection mechanism based on maximum RE of Sensor Node (SN) and minimum Base Station (BS) distance. The proposed protocol works in two steps as follows: The data is collected from smart offices in the first step and from residential buildings in the next step. The collected data is aggregated by the Cluster head(s) and transmit to the BS in the Internet of Things (IoT) based network. The simulation performance of the proposed protocol improves the lifetime of the network compared to the SEP protocol.

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Correspondence to Vipul Narayan .

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Narayan, V., Daniel, A.K. (2022). IOT Based Sensor Monitoring System for Smart Complex and Shopping Malls. In: Calafate, C.T., Chen, X., Wu, Y. (eds) Mobile Networks and Management. MONAMI 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-94763-7_26

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  • DOI: https://doi.org/10.1007/978-3-030-94763-7_26

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  • Print ISBN: 978-3-030-94762-0

  • Online ISBN: 978-3-030-94763-7

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