Energy Efficient Thermal Aware Routing Algorithms for Embedded Biomedical Sensor Networks

A. Bag, M. Bassiouni
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引用次数: 128

Abstract

One of the major applications of sensor networks in near future will be in the area of biomedical research. Implanted biosensor nodes are already being used for various medical applications. These in-vivo sensor networks collect different biometric data and communicate the data to the base station wirelessly. These sensor networks produce heat, as the nodes have to communicate among themselves wirelessly. The rise in temperature of the nodes due to communication should not be very high. A high temperature of the in-vivo nodes for a prolonged period might damage the surrounding tissues. In this paper, we propose a new routing algorithm that reduces the amount of heat produced in the network. In the simple form, the algorithm routes packets to the coolest neighbor without inducing routing loops. In the adaptive form, the algorithm uses mechanisms to adapt to topologies with low degree of connectivity and to switch to shortest path routing if a time threshold is exceeded. The proposed algorithm performs much better in terms of reducing the amount of heat produced, delay and power consumption compared to the shortest hop routing algorithm and a previously proposed thermal aware routing algorithm (TARA)
嵌入式生物医学传感器网络的节能热感知路由算法
在不久的将来,传感器网络的主要应用之一将是在生物医学研究领域。植入式生物传感器节点已经被用于各种医疗应用。这些体内传感器网络收集不同的生物特征数据,并将数据无线传输到基站。这些传感器网络产生热量,因为节点之间必须进行无线通信。由于通信导致的节点温度升高不应该很高。体内淋巴结长时间的高温可能会损害周围组织。在本文中,我们提出了一种新的路由算法,可以减少网络中产生的热量。在简单形式中,该算法将数据包路由到最冷的邻居,而不会产生路由循环。在自适应形式中,该算法采用自适应机制来适应低连通性的拓扑结构,并在超过时间阈值时切换到最短路径路由。与最短跳路由算法和先前提出的热感知路由算法(TARA)相比,所提出的算法在减少产生的热量、延迟和功耗方面表现得更好。
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