An Optimization to Routing Approach Under WBAN Architectural Constraints

Sangwan, Aarti; Bhattacharya, Partha Pratim

doi:10.1007/978-3-319-23258-4_8

Cited by 3 publications

(2 citation statements)

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“…Energy-efficient routing protocols like topology-based WBAN [26], multi-hop based WBAN [27], medium access control based WBAN [28,29], and priority-based WBAN [30] are proposed by the authors. In order to reduce the consumption of energy in an efficient manner, various optimization algorithms [31][32][33][34][35][36] have been explored in the area of wireless technology [37][38][39][40][41][42][43][44][45]. However, such algorithms don't focus much on WBAN.…”

Section: Related Workmentioning

confidence: 99%

“…The authors specify lower specific absorption rate (SAR) is used for the choice of path, which improves the success rate of packets. For generation of route from sensor nodes to the sink based on some parametric adjustment, under architectural constraints, optimization to the routing approach is defined Sangwan et al [44]. Kaur et al [45] have proposed two protocols optimized cost effective and energy efficient routing protocol (OCER) and extended-OCER (E-OCER).…”

Section: Related Workmentioning

confidence: 99%

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PSOBAN: a novel particle swarm optimization based protocol for wireless body area networks

2019

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In the modern world, wireless body area networks (WBAN) is projected to play a vital role in biomedical and psychological applications. The practical implementation of WBAN technology surfer from various deployment issues that have to be dealt with. The more serious concern is associated with the energy consumption of these networks. Biosensor nodes continuously sense the signals and send the same to sink. Sending data to sink is an energy-consuming operation, so routing is done to optimize energy utilization in WBAN. The continuous data sensing and the transmission of information over long-distances result in huge energy consumption of these nodes. So, conservation of energy is the need of the hour. The main focus of the current study is to invise a routing mechanism that makes use of particle swarm optimization based on metaheuristic algorithm along with the relay node selection based on distances and residual energies. Experimental results show that the proposed protocol strikes a perfect balance between minimizing the number of relay nodes (to be positioned on subject) along with the energy efficient WBAN.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

PSOBAN: a novel particle swarm optimization based protocol for wireless body area networks

2019

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Implementation of AI Collaboration in IOT-Enabled Systems for Better Response

Paul,

Nagar,

Rajan

et al. 2024

2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)

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AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system

Zahid

Sodhro

Kamboh

et al. 2022

MBE

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<abstract> <p>Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size and ability of wireless data transfer, Body Sensor Networks (BSNs) have become the center of attention in current medical media technologies. For a long-term and reliable healthcare system, high energy efficiency, transmission reliability, and longer battery lifetime of wearable sensors devices are required. There is a dire need for empowering sensor-based wearable techniques in BSNs from every aspect i.e., data collection, healthcare monitoring, and diagnosis. The consideration of protocol layers, data routing, and energy optimization strategies improves the efficiency of healthcare delivery. Hence, this work presents some key contributions. Firstly, it proposes a novel avant-garde framework to simultaneously optimize the energy efficiency, battery lifetime, and reliability for smart and connected healthcare. Secondly, in this study, an Adaptive Transmission Data Rate (ATDR) mechanism is proposed, which works on the average constant energy consumption by varying the active time of the sensor node to optimize the energy over the dynamic wireless channel. Moreover, a Self-Adaptive Routing Algorithm (SARA) is developed to adopt a dynamic source routing mechanism with an energy-efficient and shortest possible path, unlike the conventional routing methods. Lastly, real-time datasets are adopted for intensive experimental setup for revealing pervasive and cost-effective healthcare through wearable devices. It is observed and analysed that proposed algorithms outperform in terms of high energy efficiency, better reliability, and longer battery lifetime of portable devices.</p> </abstract>

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An Optimization to Routing Approach Under WBAN Architectural Constraints

Cited by 3 publications

References 10 publications

PSOBAN: a novel particle swarm optimization based protocol for wireless body area networks

PSOBAN: a novel particle swarm optimization based protocol for wireless body area networks

Implementation of AI Collaboration in IOT-Enabled Systems for Better Response

AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system

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