Wireless Sensor Network Application for IoT-Based Healthcare System

Doshi, Harsh; Shankar, Achyut

doi:10.1007/978-981-15-9873-9_24

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…The Internet of Things (IoT) is regarded as a global network system where billions of smart things (devices) can interconnect and communicate with others through the Internet without requiring human interaction [1]. In particular, IoT networks can be deployed based on wireless sensor networks (WSN-based IoT) to provide various services and applications such as smart homes [2], battlefield surveillance systems [3], smart healthcare systems [4,5], smart industrial systems [6,7], intelligent transportation [8], earthquake early warning systems [9], smart cities [10,11], and so on. As shown in Figure 1, for example, a scenario of deploying a WSN-based IoT application consists of three layers: networking, cloud/fog computing, and application layer.…”

Section: Introductionmentioning

confidence: 99%

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

et al. 2023

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The Internet of Things (IoT) integrates different advanced technologies in which a wireless sensor network (WSN) with many smart micro-sensor nodes is an important portion of building various IoT applications such as smart agriculture systems, smart healthcare systems, smart home or monitoring environments, etc. However, the limited energy resources of sensors and the harsh properties of the WSN deployment environment make routing a challenging task. To defeat this routing quandary, an energy-efficient routing protocol based on grid cells (EEGT) is proposed in this study to improve the lifespan of WSN-based IoT applications. In EEGT, the whole network region is separated into virtual grid cells (clusters) at which the number of sensor nodes is balanced among cells. Then, a cluster head node (CHN) is chosen according to the residual energy and the distance between the sink and nodes in each cell. Moreover, to determine the paths for data delivery inside the cell with small energy utilization, the Kruskal algorithm is applied to connect nodes in each cell and their CHN into a minimum spanning tree (MST). Further, the ant colony algorithm is also used to find the paths of transmitting data packets from CHNs to the sink (outside cell) to reduce energy utilization. The simulation results show that the performance of EEGT is better than the three existing protocols, which are LEACH-C (low energy adaptive clustering hierarchy), PEGASIS (power-efficient gathering in sensor information systems), and PEGCP (maximizing WSN life using power-efficient grid-chain routing protocol) in terms of improved energy efficiency and extended the lifespan of the network.

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Section: Introductionmentioning

confidence: 99%

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

et al. 2023

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Wireless Sensor‐based IoT System with Distributed Optimization for Healthcare

Anand,

Pandey,

Gupta

et al. 2024

Meta Heuristic Algorithms for Advanced Distributed Systems

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Routing Protocols for Mobile Internet of Things (IoT): A Survey on Challenges and Solutions

et al. 2021

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The Internet of Things (IoT) is aimed to provide efficient and seamless connectivity to a large number of low-power and low-cost embedded devices, consequently, the routing protocols play a fundamental role in achieving these goals. The IETF has recently standardized the IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) for LLNs (i.e., Low-power and Lossy Networks) and is well-accepted among the Internet community. However, RPL was proposed for static IoT devices and suffers from many issues when IoT devices are mobile. In this paper, we first present various issues that are faced by the RPL when IoT devices are mobile. We then carry out a detailed survey of various solutions that are proposed in the current literature to mitigate the issues faced by RPL. We classify various solutions into five categories i.e., ‘Trickle-timer based solutions’, ‘ETX based solutions’, ‘RSSI based solutions’, ‘Position-based solutions’, and ‘Miscellaneous solutions’. For each category of these solutions, we illustrate their working principles, issues addressed and make a thorough assessment of their strengths and weaknesses. In addition, we found several flaws in the performance analysis done by the authors of each of the solutions, e.g., nodes mobility, time intervals, etc., and suggest further investigations for the performance evaluations of these solutions in order to assess their applicability in real-world environments. Moreover, we provide future research directions for RPL supporting various real-time applications, mobility support, energy-aware, and privacy-aware routing.

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Wireless Sensor Network Application for IoT-Based Healthcare System

Cited by 3 publications

References 12 publications

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

Wireless Sensor‐based IoT System with Distributed Optimization for Healthcare

Routing Protocols for Mobile Internet of Things (IoT): A Survey on Challenges and Solutions

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