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Weighted Energy and QoS based Multi-hop Transmission Routing Algorithm for WBAN

机译:基于加权能量和QoS的WBAN多跳传输路由算法

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Wireless Body Area Network (WBAN) is a subset of Wireless Sensor Network (WSN) whereby invasive, non-invasive, low-cost and miniature sensors are used to measure the vital signs of a person to detect chronic diseases in their early stages before symptoms begin to appear. One of the major challenges is the network lifetime and QoS due to limited resources, hence in this paper, an architecture with a single sink node is developed in order to improve the energy management and QoS of the (WBAN). Furthermore, as part of the effort to further improve the network lifetime and QoS, an algorithm which classifies the sensed data into normal, high-normal and critical is developed using MAC protocol. Also, another algorithm called Weighted Energy and QoS (WEQ) algorithm is developed to select the optimal path to transmit the normal and high normal data. In the WEQ, the weight value is computed by considering metrics such as delay, residual energy, link stability, and distance. The route with the highest weight value is selected and the data is transmitted on that route. Extensive simulation is performed on OMNe++ to demonstrate that our work significantly outperforms that of similar works in terms of network lifetime and throughput.
机译:无线人体局域网(WBAN)是无线传感器网络(WSN)的子集,通过该传感器,侵入性,非侵入性,低成本和微型传感器可用于测量人的生命体征,以在症状出现之前的早期阶段检测出慢性病开始出现。主要挑战之一是由于资源有限而导致的网络寿命和QoS,因此,在本文中,开发了一种具有单个接收器节点的体系结构,以改善(WBAN)的能源管理和QoS。此外,作为进一步改善网络寿命和QoS的努力的一部分,使用MAC协议开发了一种算法,该算法将感测到的数据分为正常,高正常和严重。此外,还开发了另一种算法,称为加权能量和QoS(WEQ)算法,以选择最佳路径来传输正常数据和高正常数据。在WEQ中,权重值是通过考虑诸如延迟,剩余能量,链路稳定性和距离之类的指标来计算的。选择权重值最高的路线,并在该路线上传输数据。在OMNe ++上进行了广泛的仿真,证明在网络寿命和吞吐量方面,我们的工作明显优于同类工作。

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