Overview of the Role of the Internet of Things and Cyber-Physical Systems in Various Applications

Bhatia, Varsha; Kumawat, Sunita; Jaglan, Vivek

doi:10.1201/9781003277323-2

Cited by 3 publications

(2 citation statements)

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“…Application areas for the WSN include tracking of traffic and military activities, weather forecasts, landslide detection, and fire detection. IoT and cyber‐physical systems rely on WSNs as their foundation 18 . The Internet of Things (IoT) is a relatively new notion that refers to everyday objects that have Internet Protocol (IP) connections and are therefore fully interconnected with the Internet.…”

Section: Introductionmentioning

confidence: 99%

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Coverage hole aware optimal cluster based routing for wireless sensor network assisted IoT using hybrid deep recurrent neural network

Srivastava¹,

Paulus²

2022

Concurrency and Computation

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Nowadays, the wireless sensor network (WSN) with IoT is intended to monitor real-world physical or environmental phenomena in a number of applications, including foreign areas such as health and habitat monitoring. The WSN-IoT network generates huge volume of data, which has to be processed and accessed by the remote users. Due to this large volume of data generation and resource constraint ability make achieving optimal cluster based routing in WSN-IoT. The location of the sensor nodes significantly affects the accuracy of the information collected, which determines the quality of service provided by the application system. WSN can have multiple conflicts, which can create different coverage holes. These holes will break the existing overlap or connection and affect the required operation of the networks. Therefore, it is essential to find and repair the coverage holes to ensure the full functioning of the WSN as a motivation of this study. In this paper, we suggest a novel Coverage Hole aware Optimal Cluster based Routing (CHOCR) scheme for WSN-IoT. First, we propose Modified Lichtenberg optimization (MLO) algorithm for balanced clustering which improve the performance of coverage hole. Second, we develop a linear equilibrium optimization based decision making (LEO-DM) technique to subtract trust value of each IoT node using multiple restraints in cluster and consider the highest trusted node is act as cluster head (CH). After that, a hybrid deep recurrent neural network (HD-RNN) is developed for intermediate node selection to frame the routing between two nodes.Finally, we simulate our proposed CHOCR scheme on the NS3.26 simulator. According to energy consumption, network longevity, number of nodes that are still alive and packet delivery ratio, packet loss ratio and throughput, end-to-end latency and delay of our proposed CHOCR routing system, we compare it to other current routing schemes.

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Section: Introductionmentioning

confidence: 99%

“…IoT and cyber-physical systems rely on WSNs as their foundation. 18 The Internet of Things (IoT) is a relatively new notion that refers to everyday objects that have Internet Protocol (IP) connections and are therefore fully interconnected with the Internet.…”

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confidence: 99%