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Wireless sensor networks (WSNs) usually build from huge number of randomly deployed sensor nodes in certain area. The sensors are mainly utilized to monitor physical and environmental conditions, gather information, process this data locally and transfer the sensed data back to the Base Station (BS). The main objective of this paper is to simulate, evaluate and observe the behavior of developed clustering...
Data transmission is the most important issue in wireless sensor network (WSN). The energy consumption and latency are the key factors of data transmission. To optimize these factors, a noble data aggregation algorithm is proposed in this paper. The proposed algorithm is originated from LEACH, and energy efficiency and latency is considered as the researching parameters. The overlap of detect regions...
Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negatively affects the performance of the network. A challenge is to find optimal mobile agent routes for minimizing the data path loss and the sensors energy consumption as well as maximizing the data accuracy. Existing approaches deal with...
This paper deals with influence of the fusion of part of the related data in WSN on the energy consumption of network clustering based on the hypothesis that the data packets transmitted by cluster-head node after data fusion are the minimum with the rate distortion function theory. The study shows that node energy consumption largely depends on its location: although some nodes are comparatively...
In wireless sensor networks (WSNs), gathering sensed information, transforming the information data to the base station in an energy efficient manner, and lengthening the network lifetime are important issues. Clustering is an energy efficient way that divides sensor nodes into many clusters, each of which has a cluster-head. The routing from cluster-head sensor nodes to the base station, however,...
In this paper, we propose an optimized clustering technique based on spatial-correlation in wireless sensor networks (WSN). It combines the advantages of clustering technique with spatial-correlation. It can avoid the impact of unexpected data on the results and get approximate results in a tolerant error by using similarity degree to construct clusters. Moreover, for only cluster-heads transmit data...
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