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Hotspot Preventing Routing Algorithm for Delay-sensitive Biomedical Sensor Networks

机译:延时敏感生物医学传感器网络的热点防止路由算法

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Networks of implanted biomedical sensor nodes promise to give a new direction to medical research. Implanted biosensor nodes are already being used for various medical applications. The in-vivo sensor nodes collect the desired biometric data and communicate the data wirelessly among themselves and with a base station located outside the body. The sensor nodes are equipped with radio transmitters and receivers and hence produce heat while communicating, leading to a rise in the temperature of the nodes. A high temperature of the in-vivo nodes for a prolonged period might damage the surrounding tissues. So a considerable rise in the temperature of the nodes is not desired. For certain delay-sensitive medical applications a large delay in communicating the sensed information to the base-station might also be fatal. In this paper, we propose Hotspot Preventing Routing (HPR) algorithm that reduces the average packet delivery delay in the network of biomedical sensor nodes while preventing the formation of hotspots. The proposed algorithm performs much better in terms of preventing the formation of hotspots and reducing the average packet delivery delay as compared to the shortest hop routing algorithm and the previously proposed Thermal Aware Routing Algorithm (TARA).
机译:植入生物医学传感器节点的网络承诺给出了医学研究的新方向。植入的生物传感器节点已经用于各种医疗应用。体内传感器节点收集所需的生物识别数据,并在它们之间无线地传送数据,并且位于主体外部的基站。传感器节点配备有无线电发射器和接收器,因此在通信时产生热量,从而导致节点的温度升高。长期时间的体内节点的高温可能会损害周围组织。因此,不需要显着的节点温度升高。对于某些延迟敏感的医学应用,将所感测信息传送到基站的大延迟也可能是致命的。在本文中,我们提出了热点防止路由(HPR)算法减少生物医学传感器节点的网络中的平均分组传送延迟,同时防止热点的形成。与最短跳跳路由算法相比,所提出的算法在防止热点形成并降低平均分组传送延迟方面的比较更好。和先前提出的热意识路由算法(Tara)。

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