Local clustering and threshold sensitive routing algorithm for Wireless Sensor Networks

R. Roseline, P. Sumathi
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引用次数: 31

Abstract

Wireless Sensor Networks (WSN) is an excellent technology that can sense, measure, and gather information from the real world and, based on some local decision process transmit the sensed data to the user. These networks allow the physical environment to be measured at high resolutions, and greatly increase the quality and quantity of real-world data and information for applications like environment monitoring. The energy constraint of WSN makes energy conservation the most important goal of routing algorithms. LEACH (Low Energy Adaptive Clustering Hierarchy) is a Proactive protocol and was proposed to organize a sensor network into a set of clusters so that energy consumption is evenly distributed among all sensor nodes. Despite the good performance of LEACH, it has the drawback that the TDMA scheduling assumes that nodes always have data to send. While another protocol TEEN(Threshold Sensitive Energy Efficient sensor Network) proposed for Reactive Networks sense the environment continuously, but transmit data only when a certain threshold is sensed. This protocol is suitable for time critical applications and also is energy efficient because transmission is done less frequently. But the disadvantage of TEEN is that if the thresholds are not reached, the nodes will never communicate, and the user will not get data from the network at all and will not come to know if all the nodes die. In this paper, a hybrid routing algorithm called LCTS(Local Clustering and Threshold Sensitive) is proposed, that takes the advantages of LEACH and TEEN and eliminates its drawbacks. LCTS makes use of symmetric propagation channels where Cluster Head (CH) advertisement heard with the largest signal strength is the cluster-head to whom minimum amount of transmitted energy is needed for communication. The Base Station (BS) selects the Cluster Heads based on location and then the clusters are formed by the Cluster Heads. The nodes communicate with the cluster head in TDMA and send their energy level even if the threshold is not reached and this ensures that the nodes are alive. The sensed data is compressed at the CH and sent to the Base Station.
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无线传感器网络的局部聚类和阈值敏感路由算法
无线传感器网络(WSN)是一种能够感知、测量和收集来自现实世界的信息,并基于一定的局部决策过程将感知到的数据传输给用户的优秀技术。这些网络允许以高分辨率测量物理环境,并大大提高了现实世界数据和信息的质量和数量,用于环境监测等应用。无线传感器网络的能量约束使得节能成为路由算法的首要目标。LEACH (Low Energy Adaptive Clustering Hierarchy)是一种主动协议,它将传感器网络组织成一组簇,使能量消耗在所有传感器节点之间均匀分布。尽管LEACH具有良好的性能,但它的缺点是TDMA调度假设节点总是有数据要发送。而针对响应式网络提出的另一种协议TEEN(Threshold Sensitive Energy Efficient sensor Network,阈值敏感能源高效传感器网络)则持续感知环境,但仅在感知到某个阈值时才传输数据。该协议适用于时间要求严格的应用程序,并且由于传输频率较低,因此节能。但TEEN的缺点是,如果没有达到阈值,节点将永远不会通信,用户将根本无法从网络中获取数据,并且无法知道是否所有节点都死了。本文提出了一种混合路由算法LCTS(Local Clustering and Threshold Sensitive,局部聚类和阈值敏感),它吸收了LEACH和TEEN的优点,消除了它们的缺点。LCTS利用对称传播信道,其中接收到最大信号强度的簇头(CH)通告是通信所需传输能量最小的簇头。基站根据位置选择簇头,由簇头组成簇。节点在TDMA中与簇头通信,即使没有达到阈值也会发送它们的能量水平,这确保了节点是活动的。感知到的数据在CH被压缩后发送到基站。
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