Energy efficient routing for critical physiological parameters in wireless body area networks under mobile emergency scenarios

Navya, V.; Deepalakshmi, P.

doi:10.1016/j.compeleceng.2018.10.011

Cited by 19 publications

(5 citation statements)

References 12 publications

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“…Crucial, urgency, and classified forwarding methods for effective communication of a patient’s important information to the sink were presented for mobility supported WBAN. 14 The data transmitting was achieved by predecessor-successor-node (PSN) technique. Even though the work efficiently utilizes energy, it proves inefficient for a real-time environment.…”

Section: Related Workmentioning

confidence: 99%

An improved dual-sink architecture with a modified media access control protocol, energy-aware, and quality-of-service guaranteed routing algorithms for wireless body area network

İbrahim

2022

International Journal of Distributed Sensor Networks

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To reduce frequent sensor recharging and replacement due to resource constraint, it becomes imperative to increase the management of energy and network’s quality of service. To this end, this article provides a new wireless body sensor network architecture with two sink nodes and multiple energy management and quality-of-service algorithms. The first algorithm is the normal data avoidance algorithm that is responsible for decreasing the energy usage by avoiding the transmission of normal data. Duplicate data avoidance algorithm avoid transmitting duplicate data thus saving the bandwidth and battery life. Past knowledge-based weighted routing algorithm oversees taking the ideal direction to transmit information, hence improving quality of service. Furthermore, sleep scheduling is integrated to further improve the battery life. In addition, in our proposed model, linear programming which is based on mathematical models was used to model the network lifetime maximization and continuous data transmission minimization. Through simulation in Castalia-based OMNeT++ demonstrates that our proposed work outperforms the works of quasi-sleep-preempt-supported with regard to network lifetime and delay with 50% and 30% improvement, respectively, moreover, it improves the work of critical data with respect to packet drop and throughput with 30% and 75% improvement, respectively.

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Section: Related Workmentioning

confidence: 99%

An improved dual-sink architecture with a modified media access control protocol, energy-aware, and quality-of-service guaranteed routing algorithms for wireless body area network

İbrahim

2022

International Journal of Distributed Sensor Networks

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“…When a disconnected node receives a rescue beacon, it participates in the current emergency phase. In literature, 19 a predecessor‐successor‐node (PSN) routing technique is presented that uses a random walk mobility model and a communication cost function metric to find out the changes in the distance between the biosensors and the sink. It uses a dynamic routing strategy to select a possible communication technique to route data of the biosensors.…”

Section: Related Workmentioning

confidence: 99%

Relay selection, clustering, and data aggregation routing in wireless body area networks

Ziaei

Avokh

2021

Int J Communication

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This paper addresses the problems of relay selection, clustering, and routing to extend the lifetime of wireless body area networks. We first propose an efficient algorithm called "Energy-aware Relay Selection and Cluster-based Routing (ERSCR)" to develop a hybrid data aggregation tree in the network. ERSCR has three phases, including the relay selection, clustering and Cluster Head (CH) selection, and data transmission. It divides the biosensors into several clusters and selects an appropriate CH for each cluster. Each biosensor transmits data to its CH or relay node. The aggregated data are then routed to the sink through an energy-balanced routing tree. The proposed scheme considers both residual energy and distance for routing data of biosensors. It not only reduces the energy consumption in the network but also balances the energy consumed by different biosensors. Subsequently, we improve the ERSCR algorithm and introduce the "Joint Relay Selection, Clustering, and Routing (JRSCR)" algorithm to achieve a better network performance. JRSCR benefits from the advantages of the ERSCR algorithm. Moreover, it reduces the number of transmissions with the direct use of the relay nodes as CH. As another advantage, both ERSCR and JRSCR algorithms are compatible with the natural physical states of the human body. Simulation results demonstrate the efficiency of the proposed algorithms in terms of energy consumption, network lifetime, and maximum hop count.

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“…Also, a route with multiple hops relatively increases the delay for emergency data. A priority‐aware routing scheme was proposed for mobility supported WBAN 31‐34 . The data routing was performed by Predecessor‐Successor‐Node (PSN) technique.…”

Section: Related Workmentioning

confidence: 99%

“…This section compares the proposed work with the previous research works such as DSCB 31 method, GA 35 ‐based routing, and EB‐MADM method 38 . For performance evaluation, energy consumption, PDR, throughput and delay metrics are considered.…”

Section: Experimental Evaluationmentioning

confidence: 99%

Quality of Service‐aware clustered triad layer architecture for critical data transmission in multi‐body area network environment

İbrahim

2021

Engineering Reports

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Wireless Body Area Network (WBAN) is an important element of future smart healthcare services in smart cities. For this reason, many research works have been undergone in WBAN. The significant research issue in the WBAN environment is Quality of Service (QoS) provisioning. In literature, some of the works have been focused on QoS aspect of WBAN. However, they have only marginal impact due to ineffective network design and the usage of a single sink node. Also, most of the research works have been tested within a single BAN and present intra‐BAN communication. In practical, an effective multi‐BAN communication system is emerging due to the need of large‐scale healthcare system. This paper addresses these issues and designs a novel QoS‐aware Clustered Triad Layer (QC‐TriL) architecture for multi‐BAN environment. The novel QC‐TriL uses dual sink nodes in each BAN and both sinks are deployed in the optimal positions. To determine the optimal position, Type‐II Fuzzy Logic (T2FL) is proposed with different criteria. Next, we form clusters based on the positions of dual sink nodes. QC‐TriL adopts criticality‐aware routing by presenting Delay‐aware One‐Hop Transmission and Fused Rank Scheme (FuRank) for critical data and normal data routing respectively. The data transmission is organized by a novel 1D‐Dragonfly topology‐based Priority Dual TDMA (PD‐TDMA) scheduling protocol. Finally, multi‐BAN communication is enabled with an optimal route selected by QoS‐aware Emperor Penguin Colony (QoS‐EPC) algorithm. The QC‐TriL multi‐BAN environment is modeled in OMNeT++ simulator and evaluated in terms of energy consumption, packet delivery ratio, throughput, and delay. The experiments show promising results for the multi‐BAN environment.

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Energy efficient routing for critical physiological parameters in wireless body area networks under mobile emergency scenarios

Cited by 19 publications

References 12 publications

An improved dual-sink architecture with a modified media access control protocol, energy-aware, and quality-of-service guaranteed routing algorithms for wireless body area network

An improved dual-sink architecture with a modified media access control protocol, energy-aware, and quality-of-service guaranteed routing algorithms for wireless body area network

Relay selection, clustering, and data aggregation routing in wireless body area networks

Quality of Service‐aware clustered triad layer architecture for critical data transmission in multi‐body area network environment

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