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easily understand the energy efficient clustering head selection approach of wireless sensor network.
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One of the most critical issues in the wireless sensor networks is the network s nodes limited availability of energy. The network lifetime strictly depends on its energy efficiency.
Clustering is a method to make the consumed energy efficient. LEA
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The cluster head is selected by the random number
generated by nodes in the hierarchical routing protocol which
is implementing Low Energy Adaptive Clustering Hierarchy
(LEACH). As a result, the cluster head may be chosen
randomly and be
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In wireless sensor networks, the power resource of
each sensor node is limited. Minimizing energy dissipation and
maximizing network lifetime are important issues in the design
of routing protocols for sensor networks. In this paper, Cluster
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基于多跳分簇的Ad Hoc网络路由协议研究-Ad Hoc Network Routing Protocol-based multi-hop clustering
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有关无线传感器网络的分簇算法，基于LEACH协议-Wireless sensor network clustering algorithm based on LEACH protocol
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clustering in network simulator
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In this presentation, Various security threats face by routing protocols in wireless sensor network is presented.
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Energy efficiency is the most important design goal
for wireless sensor networks (WSNs). In this paper, we propose
an energy-efficient cooperative MIMO scheme, which
combines energy-efficient LEACH (EE-LEACH) protocol and
cooperative MIMO. We
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Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory
clustering are mainly based on density and Euclidean distance measures. We argue that when the utility of spatial clustering of
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Wireless Sensor Network is the network of power-limited sensing devices called sensors. Wireless sensor network is differ other networks in terms of optimization of amount of energy because when these sensors sense and transmit data to other sensors
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MLCP: Multi level Clustering Protocol
in Wireless Sensor Network
Takhellambam
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关于神经网络控制，包含位置式PID算法、积分分离式PID，基于K均值的PSO聚类算法。- On neural network control, It contains positional PID algorithm, integral separate PID, K-means clustering algorithm based on the PSO.
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