Reliability and Energy Efficiency Enhancement for Emergency-Aware Wireless Body Area Networks (WBANs)

Salayma, Marwa; Al‐Dubai, Ahmed; Romdhani, Imed; Nasser, Youssef

doi:10.1109/tgcn.2018.2813060

Cited by 49 publications

(37 citation statements)

References 25 publications

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“…There are also few algorithms that allow a dynamic allocation of data streams in sensor networks that are compliant with the 802.15.4 standard. There are some protocol solutions that consider the dynamic change of bitrate, but their usability is limited only to selected types of networks and applications [16][17][18][19][20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

“…However, these investigations are limited to homogeneous radio links, which may limit their applicability in heterogeneous networks. Papers [17,18] focus on changes in the rules of timeslot's assignment in the TDMA network, but without any changes in physical layer parameters, and are also limited to one radio interface only. In contrary, in this paper, the authors proposed an algorithm of adaptive data rate selection without changing the timeslot arrangement.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Bitrate Adaptation Method for Heterogeneous Wireless Body Area Networks

et al. 2018

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In the article, a novel bitrate adaptation method for data streams allocation in heterogeneous Wireless Body Area Networks (WBANs) is presented. The efficiency of the proposed algorithm was compared with other known algorithms of data stream allocation using computer simulation. A dedicated simulator has been developed using results of measurements in the real environment. The usage of the proposed adaptive data streams allocation method by transmission rate adaptation based on radio channel parameters can increase the efficiency of resources’ usage in a heterogeneous WBANs, in relation to fixed bitrates transmissions and the use of well-known algorithms. This increase of efficiency has been shown regardless of the mobile node placement on the human body.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Bitrate Adaptation Method for Heterogeneous Wireless Body Area Networks

et al. 2018

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“…Emergency occurs when the monitored person’s activity or ambient environment suddenly changes. One of the most important requirements of BSNs is to handle emergency events reliably and with the lowest delay in order to take fast actions and save people’s lives [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…The main reason for this traffic burst is that physiological parameters are highly correlated, and therefore upon emergency, many sensors will need to send their data simultaneously to the coordinator at high rates to appropriately assess the patient’s situation [ 7 , 8 , 9 ]. During periodic observations (non-emergency cases), the main concern is to guarantee high energy efficiency; whereas during emergency, the main concern is to guarantee reliable and real-time transmission of critical data within strict delay requirements (less than 125 ms) [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks

Dargham

Makhoul

Abdo

et al. 2018

Sensors

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In Body Sensor Networks (BSNs), two types of events should be addressed: periodic and emergency events. Traffic rate is usually low during periodic observation, and becomes very high upon emergency. One of the main and challenging requirements of BSNs is to design Medium Access Control (MAC) protocols that guarantee immediate and reliable transmission of data in emergency situations, while maintaining high energy efficiency in non-emergency conditions. In this paper, we propose a new emergency aware hybrid DTDMA/DS-CDMA protocol that can accommodate BSN traffic variations by addressing emergency and periodic traffic requirements. It takes advantage of the high delay efficiency of DS-CDMA in traffic burst, and the high energy efficiency of DTDMA in periodic traffic. The proposed scheme is evaluated in terms of delay, packet drop percentage, and energy consumption. Different OPNET simulations are performed for various number of nodes carrying emergency data, and for various payload sizes. The protocol performance is compared to other existing hybrid protocols. Results show that the proposed scheme outperforms the others in terms of delay and packet drop percentage for different number of nodes carrying emergency data, as well as for different payload sizes. It also offers the highest energy efficiency during periodic observation, while adjusting the energy consumption during emergency by assigning spreading codes only to nodes holding emergency data.

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“…A comprehensive survey on the major characteristics, research issues, and challenges in WBANs for patient monitoring from a practical design and implementation perspective was provided in the works of [4,5]. Additionally, several previous works in the literature were proposed to investigate the energy-saving technologies from the aspects of the media access control (MAC) protocol design, power control, and cross-layer resource allocation strategies to make efforts to prolong the lifetime of WBANs [6][7][8][9][10][11][12]. In the work of [7], the authors presented a time division multiple access (TDMA)-based technique to improve WBANs' reliability and energy efficiency by adaptively synchronizing nodes while tackling channel and buffer status.…”

mentioning

confidence: 99%

Reinforcement Learning (RL)-Based Energy Efficient Resource Allocation for Energy Harvesting-Powered Wireless Body Area Network

Xie

Zhang

et al. 2019

Sensors

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Wireless body area networks (WBANs) have attracted great attention from both industry and academia as a promising technology for continuous monitoring of physiological signals of the human body. As the sensors in WBANs are typically battery-driven and inconvenient to recharge, an energy efficient resource allocation scheme is essential to prolong the lifetime of the networks, while guaranteeing the rigid requirements of quality of service (QoS) of the WBANs in nature. As a possible alternative solution to address the energy efficiency problem, energy harvesting (EH) technology with the capability of harvesting energy from ambient sources can potentially reduce the dependence on the battery supply. Consequently, in this paper, we investigate the resource allocation problem for EH-powered WBANs (EH-WBANs). Our goal is to maximize the energy efficiency of the EH-WBANs with the joint consideration of transmission mode, relay selection, allocated time slot, transmission power, and the energy constraint of each sensor. In view of the characteristic of the EH-WBANs, we formulate the energy efficiency problem as a discrete-time and finite-state Markov decision process (DFMDP), in which allocation strategy decisions are made by a hub that does not have complete and global network information. Owing to the complexity of the problem, we propose a modified Q-learning (QL) algorithm to obtain the optimal allocation strategy. The numerical results validate the effectiveness of the proposed scheme as well as the low computation complexity of the proposed modified Q-learning (QL) algorithm.

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Reliability and Energy Efficiency Enhancement for Emergency-Aware Wireless Body Area Networks (WBANs)

Cited by 49 publications

References 25 publications

A Novel Bitrate Adaptation Method for Heterogeneous Wireless Body Area Networks

A Novel Bitrate Adaptation Method for Heterogeneous Wireless Body Area Networks

Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks

Reinforcement Learning (RL)-Based Energy Efficient Resource Allocation for Energy Harvesting-Powered Wireless Body Area Network

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