Link Reliability and Performance Optimization in Wireless Body Area Networks

Mkongwa, Kefa G.; Liu, Qingling; Zhang, Chaozhu

doi:10.1109/access.2019.2944573

Cited by 17 publications

(9 citation statements)

References 31 publications

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“…However, among possible convergecast trees, Fig. 8(c) is a hot favorite because it has the highest parentchild distribution rate, as endorsed by the proposed protocol such that γ 𝑖 5 ≤ 2 as modeled in (15). The convergecast tree 𝐺′ = (𝑉 ′ , 𝐸 ′ ) process begins at 𝑜 (1) where 𝑉 is the number of nodes.…”

Section: ) Explanation and Examplementioning

confidence: 99%

“…The scheme predicts channel condition, regulation of transmission power with reordering slot sequence, and relay node selection. Link Reliability and Performance Optimization (LRPO) in WBAN is proposed by [15] to offer a cross-layer routing mechanism using QoS to find a cost function of energy levels of nodes, reliable link availability, and variating specific absorption rates. The algorithm is implemented in two stages, where energy efficiency is combined with link reliability policy and QoS contention windows to analyze network performance.…”

Section: A Cross-layer Routingmentioning

confidence: 99%

“…These parameters ensure more reliable data transmission, improve network performance, reduce transmission delay and improve node-to-node communication in real-time. The 𝑯𝑪 depends on candidate hops to the sink (𝑯𝑪 𝑵𝑬𝑿𝑻 ) over the total hops of candidate nodes towards the sink node (𝑯𝑪 𝑻𝑶𝑻𝑨𝑳 ) is estimated in (15). (15) This article has been accepted for publication in IEEE Access.…”

Section: Multi-parameter Maximum Benefit Cost Functionmentioning

confidence: 99%

“…The 𝑯𝑪 depends on candidate hops to the sink (𝑯𝑪 𝑵𝑬𝑿𝑻 ) over the total hops of candidate nodes towards the sink node (𝑯𝑪 𝑻𝑶𝑻𝑨𝑳 ) is estimated in (15). (15) This article has been accepted for publication in IEEE Access. This is the author's version which has not been fully edited and content may change prior to final publication.…”

Section: Multi-parameter Maximum Benefit Cost Functionmentioning

confidence: 99%

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Optimized Distributive Cross-Layer and Thermal-Aware Convergecast Protocol for Wireless Body Area Network

et al. 2022

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The Internet of Healthcare Things has significantly altered traditional patient-doctor relationships by allowing essential healthcare treatment from the comfort of one's home. The wireless body area network is an IEEE 802.15.6 standard that focuses on healthcare data, necessitating various cross-layer and thermal-aware protocols. However, most cross-layer protocols have long convergence delays and a single failure point. Moreover, these protocols exploit excessive broadcasts and handshake acknowledgments, causing communication and processing overheads. Furthermore, thermal-aware protocols focus on thermal variations, disperse data collection, and do not support cross-layer techniques. To address these limitations, this study proposes an optimal distributive cross-layer and thermal-aware convergecast protocol. The proposed protocol enforces a novel hybrid convergecast using probability and both minimum attenuation strategies to collect data from leaf nodes to the root to improve data flow and adaptability in the network. In addition, it accelerates the convergence process by reducing recurrent broadcasts and unnecessary acknowledgments, resulting in improved energy efficiency and thermal control. The proposed protocol supports a distributive hierarchy by establishing multiple parent-child relationships to avoid a single root point failure. A multi-parameter maximum benefit-cost function calculates the next hop according to the extracted weights. Packet loss probability validates the number and sequence of packets received at the sink node. The simulation results demonstrate that cross-layer and thermal-aware protocols can coexist effectively. The proposed protocol reduces delays to 19.4%, improves throughput from 8% to 13.75%, and retains a packet loss probability of 0.3% by keeping the thermal rise within bounds.

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Section: ) Explanation and Examplementioning

confidence: 99%

Section: A Cross-layer Routingmentioning

confidence: 99%

Section: Multi-parameter Maximum Benefit Cost Functionmentioning

confidence: 99%

Section: Multi-parameter Maximum Benefit Cost Functionmentioning

confidence: 99%

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Optimized Distributive Cross-Layer and Thermal-Aware Convergecast Protocol for Wireless Body Area Network

et al. 2022

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“…Instead, the WBAN implementation option takes priority over essential output parameters [ 10 ] (Sleep Mode, Network lifetime, Path loss, Stability, Residual energy, Packet delivery ratio). Therefore, various low-layer approaches can be added to promote improved network performance [ 11 ] and upper-layer protocols based on the sensitivity of the WBAN program. The methods employed in this study generally offered connection efficiency, stability and enhanced various network capacity parameters significantly [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Sensors Energy Optimization for Renewable Energy-Based WBANs on Sporadic Elder Movements

Rajawat

Goyal

Bedi

et al. 2022

Sensors

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The world is advancing to a new era where a new concept is emerging that deals with “wirelessness”. As we know, renewable energy is the future, and this research studied the integration of both fields that results in a futuristic, powerful, and advanced model of wireless body area networks. Every new emerging technology does have some cons; in this case the issue would be the usage of excess energy by the sensors of the model. Our research is focused on solving this excessive usage of energy to promote the optimization of energy. This research work is aimed to design a power-saving protocol (PSP) for wireless body area networks (WBANs) in electronic health monitoring (EHM). Our proposed power-saving protocol (PSP) supports the early detection of suspicious signs or sporadic elder movements. The protocol focuses on solving the excessive energy consumption by the body attached to IoT devices to maximize the power efficiency (EE) of WBAN. In a WSNs network, the number of sensor nodes (SNs) interact with an aggregator and are equipped with energy harvesting capabilities. The energy optimization for the wireless sensor networks is a vital step and the methodology is completely based on renewable energy resources. Our proposed power-saving protocol is based on AI and DNN architectures with a hidden Markov model to obtain the top and bottom limits of the SN sources and a less computationally challenging suboptimal elucidation. The research also addressed many critical technical problems, such as sensor node hardware configuration and energy conservation. The study performed the simulation using the OMNET++ environment and represent through results the source rate to power critical SNs improves WBAN’s scheme performance in terms of power efficiency of Sporadic Elder Movements (SEM) during various daily operations.

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Dissecting wireless body area networks routing protocols: Classification, comparative analysis, and research challenges

Narwal,

Malik,

Mohapatra

et al. 2023

Int J Communication

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SummaryIn the present scenario, wireless body area network (WBAN) use case has gone beyond medical monitoring (e.g., E‐Healthcare) and has become a vital part of our daily lives. WBANs, applied in E‐Healthcare systems, extract the physiological parameters through the implanted (in‐body) and/or wearable (on‐body) sensors applied to the human body and route them to the remote server in a systematized and well‐grounded manner. Thus, routing is the most primitive and non‐trivial task in WBANs for prompt and proper delivery of sensed data. The design of routing protocol is crucial for efficacious communication and high network performance. Therefore, the target of this paper is to present an all‐encompassing taxonomy of the state‐of‐the‐art routing protocols in WBANs. Firstly, this paper provides an insight into WBANs and their related projects. Next, WBAN routing challenges are explored, and after clustering these challenges based on their operating mechanism, the routing protocols are categorized into eight categories, which correspond to cluster‐ and tree‐based, cross‐layer‐based, fuzzy‐based, interference‐based, posture‐based, QoS‐based, SDN‐based, and temperature‐based routing protocols. Furthermore, comparison tables highlighting the goals, strengths, limitations, and novelty of each protocol, along with a qualitative comparison table of the routing protocols for each category based on their features are furnished. This exhaustive survey can serve as a starting point for WBAN researchers, as open research issues have been highlighted in the discussion section.

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Link Reliability and Performance Optimization in Wireless Body Area Networks

Cited by 17 publications

References 31 publications

Optimized Distributive Cross-Layer and Thermal-Aware Convergecast Protocol for Wireless Body Area Network

Optimized Distributive Cross-Layer and Thermal-Aware Convergecast Protocol for Wireless Body Area Network

Sensors Energy Optimization for Renewable Energy-Based WBANs on Sporadic Elder Movements

Dissecting wireless body area networks routing protocols: Classification, comparative analysis, and research challenges

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