Reliable routing in Wireless Body Area Network using optimum number of relay nodes for enhancing network lifetime

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Ambient Intelligence and Smart Environments Pub Date : 2022-03-16 DOI:10.3233/ais-210055
S. Adhikary, Samiran Chattopadhyay, B. Ghosh, S. Choudhury, S. Nath, Nilkantha Garain
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引用次数: 4

Abstract

Wireless Body Area Network (WBAN) is an emerging technology that has the potential to redefine healthcare sector around the world. It can perform proactively by ubiquitously monitoring human health. But its enormous scope is challenged by limited battery power of the sensors, energy and bandwidth. Moreover, the random motion of human beings makes sensor positioning difficult and restricts efficiently routing of critical health parameter values. State of the art protocols do not address the adverse effects of heating of the implanted sensors on human tissues along with energy constraints and interference issues simultaneously. This paper handles all these issues jointly by designing a topology which has an optimized number of relay nodes and then proposes an efficient routing algorithm. Relay nodes are incorporated to frame the backbone of the connected wireless network so that all sensor nodes are coupled with at least one relay node and none of the nodes in the network remain isolated. In the proposed method, the remaining energy of the in-vivo sensors are dissipated intelligently and homogeneously so that network lifetime is enhanced without compromising reliability. Moreover, in our method, multicasting has been used to reduce transmission of unnecessary packets. Our design also leads to minimum hop count from body sensors to the sink node. The effectiveness and feasibility of our proposed approach has been evaluated and analyzed through numerous simulations. The analysis illustrates the efficacy of the proposed solution in terms of delay, network lifetime, energy efficiency, SAR and throughput.
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利用最优中继节点数提高网络寿命的无线体域网络可靠路由
无线体域网络(WBAN)是一项新兴技术,有可能重新定义全球医疗保健行业。它可以通过无所不在的监测人类健康来主动执行任务。但其巨大的应用范围受到传感器有限的电池电量、能量和带宽的挑战。此外,人体的随机运动给传感器定位带来困难,限制了关键健康参数值的有效路由。目前的技术方案并没有同时解决植入传感器加热对人体组织的不利影响以及能量限制和干扰问题。本文通过设计具有优化中继节点数量的拓扑结构来综合处理这些问题,并提出了一种高效的路由算法。中继节点被并入到所连接的无线网络的骨干框架中,使得所有传感器节点与至少一个中继节点耦合,并且网络中的节点都不保持隔离。该方法在不影响可靠性的前提下,智能均匀地耗散活体传感器的剩余能量,从而提高了网络的生存期。此外,在我们的方法中,使用了组播来减少不必要的数据包的传输。我们的设计还实现了从身体传感器到汇聚节点的最小跳数。我们提出的方法的有效性和可行性已经通过大量的仿真进行了评估和分析。从延迟、网络寿命、能量效率、SAR和吞吐量等方面分析了该方案的有效性。
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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