延迟敏感型生物医学传感器网络的热点预防路由算法

A. Bag, M. Bassiouni
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引用次数: 52

摘要

植入式生物医学传感器节点网络有望为医学研究提供新的方向。植入式生物传感器节点已经被用于各种医疗应用。体内传感器节点收集所需的生物特征数据,并在它们之间以及与位于体外的基站无线通信该数据。传感器节点配备了无线电发射器和接收器,因此在通信时产生热量,导致节点温度升高。体内淋巴结长时间的高温可能会损害周围组织。因此,节点温度的大幅升高是不可取的。对于某些对延迟敏感的医疗应用,将感测信息传输到基站的大延迟也可能是致命的。在本文中,我们提出了热点阻止路由(HPR)算法,该算法在防止热点形成的同时降低了生物医学传感器节点网络中的平均数据包传输延迟。与最短跳路由算法和热感知路由算法(TARA)相比,该算法在防止热点形成和减少平均数据包传输延迟方面表现得更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hotspot Preventing Routing Algorithm for Delay-Sensitive Biomedical Sensor Networks
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).
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