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An Efficient Next Hop Selection Algorithm for Multi-Hop Body Area Networks

机译:一种有效的多跳人体局域网络下一跳选择算法

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摘要

Body Area Networks (BANs) consist of various sensors which gather patient’s vital signs and deliver them to doctors. One of the most significant challenges faced, is the design of an energy-efficient next hop selection algorithm to satisfy Quality of Service (QoS) requirements for different healthcare applications. In this paper, a novel efficient next hop selection algorithm is proposed in multi-hop BANs. This algorithm uses the minimum hop count and a link cost function jointly in each node to choose the best next hop node. The link cost function includes the residual energy, free buffer size, and the link reliability of the neighboring nodes, which is used to balance the energy consumption and to satisfy QoS requirements in terms of end to end delay and reliability. Extensive simulation experiments were performed to evaluate the efficiency of the proposed algorithm using the NS-2 simulator. Simulation results show that our proposed algorithm provides significant improvement in terms of energy consumption, number of packets forwarded, end to end delay and packet delivery ratio compared to the existing routing protocol.
机译:人体局域网(BAN)由各种传感器组成,这些传感器收集患者的生命体征并将其传送给医生。面临的最重大挑战之一是设计一种高能效的下一跳选择算法,以满足不同医疗保健应用的服务质量(QoS)要求。本文提出了一种新的高效的多跳BAN下一跳选择算法。该算法在每个节点中共同使用最小跳数和链接成本函数来选择最佳下一跳节点。链路成本函数包括剩余能量,可用缓冲区大小以及相邻节点的链路可靠性,这些特性用于平衡能耗并满足端到端延迟和可靠性方面的QoS要求。使用NS-2仿真器进行了广泛的仿真实验,以评估所提出算法的效率。仿真结果表明,与现有的路由协议相比,我们提出的算法在能耗,转发的数据包数量,端到端时延和数据包传输率方面都有显着改善。

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