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ZACA-EEC (Zigbee Ant Colony Algorithm Energy Efficient Cluster) routing protocol is proposed to replace AODV in Zigbee with the aim of increasing reliability for mine equipment monitoring in this paper, which can prolong the lifetime of network remarkably. Taking hydraulic support as an example, the distribution of monitoring nodes can be simplified as chain hierarchy topology, then Free-space model...
The function and structure and the architecture of sensor network based on ZigBee/802.15.4 standard for forest monitoring are designed in this paper. According to the features of forest monitoring, the sensor nodes based on CC2520 and low power consumption chip MSP430F5437 and the coordinator Combing with ARM are designed which realize the energy control in physical layer. With the wireless sensor...
In WSN, cluster heads deployment influences the performance of WSNs(Wireless Sensor Networks). Taking the relation between the position and load of cluster heads into account, this paper proposes the idea of common nodes are prior placed, cluster heads with more energy and communication capability are deployed according to the special relation of common nodes, and designs a cluster heads deployment...
Wireless Sensor Networks (WSN) consist of a collection of wireless nodes that dynamically create a network themselves. However while doing so, not always energy optimization is considered. But energy consumption should be made as much low as possible since power is a constraint for these nodes. This paper proposes a clustering algorithm in Wireless Sensor Network that uses few GPS-enabled nodes or...
The iterative optimization algorithm is a traditional classification method of the pattern recognition. In the iterative optimization algorithm, the primary center of classes is selected by random method. This choice method causes the iterative time increase greatly in the optimization at anaphase. It also has some serious defects which are the selected samples blindly, the presented a local extremum...
Summary form only given: Energy supply in wireless sensor networks (WSNs) is limited and non-replenishable, and energy efficiency is the most important feature in designing these networks. One way to reduce the energy consumption of WSNs and hence prolong the lifespan of these networks is to use adaptive clustering algorithms. In this paper, we use Ant Colony Optimization for Clustering (ACO-C) to...
In this paper, we propose an efficient routing algorithm for large scale cluster-based wireless sensor networks. The technique uses two routing levels. In the first level (intra-cluster), cluster members send data directly to their cluster head. In the second level (inter-cluster), the cluster heads use ant colony optimization (ACO) algorithm, which is a biologically inspired paradigm for optimization...
With the analysis of wireless sensor network clustering route mechanism, distributed energy-surplus and centralism distance clustering protocol (DECDC) has been proposed for dynamic optimization problem of wireless sensor network routing technology cluster head choice and clustering and inter-cluster route, in witch a node, according to its residual energy and the position and distance from sink node,...
Clustering is an effective approach to hierarchically organizing network topology for efficient data aggregation in wireless sensor networks (WSNs). In this paper, we present a new approach to energy-efficient, distributed clustering in WSNs using the recent modeling and computational methodology of factor graphs and message-passings. We first formulate the sensor clustering as an optimization problem...
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