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Matlab based wireless sensor network code for hetrogeneous application in Airports. This is based on clustering of nodes.
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本文提出了一种节点密度和剩余能量传感器网络加权分群算法，该分群算法优化了群首
选择，均衡了网络节点的能量消耗，延长了网络的生命周期-This paper proposes a residual energy of sensor nodes in the network density and weighted clustering algorithm, the clustering algorithm to optimize the group' s first choice, bal
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we have discussed HCTA based tracking and single hop routing and LEACH based
tracking and clustering routing. LEACH based tracking is divides sensor nodes in cluster. In each
cluster CH (cluster head) applies aggregation process on packets then d
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LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often locate
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LEACH (Low Energy Adaptive Clustering Hierarchy) is designed for sensor networks where an end-user wants to remotely monitor the environment. In such a situation, the data from the individual nodes must be sent to a central base station, often locate
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In this research work, we advise gateway based energy-efficient routing protocol (M-GEAR) for Wireless Sensor Networks (WSNs). We divide the sensor nodes into four logical regions on the basis of their location in the sensing field. We install Base S
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Wireless sensor networks are composed of a large number of disposable wireless sensors that collect information about their surrounding environment and transmit them to the end user. Because these sensors do not have rechargeable batteries, increasin
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In wireless sensor network，cluster algorithm of nodes is all effective approach and key technology to implement energy saving and flexible management．To improve security and lifetime of clustering network，a secure clustering was pro— posed based on t
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LEACH matlab水声通信网络算法编程-In order to solve the problem of high energy consumption caused by the high degree of freedom and uneven distribution of the cluster-head nodes in underwater acoustic sensor networks (UASNs), we present a novel distributed Low
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