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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...
Adaptive clustering is one of the common methods in wireless sensor networks to prolong the network lifetime. Single-hop dynamic clustering proposed in LEACH protocol is simple and energy-efficient. By random clustering, it causes uneven energy consumption and terrible energy consumption when sink node is far away from the network. We develop a protocol called TCMR (Twice Clustering and Multi-hop...
The paper presents the criteria that affect the performance of network lifetime in Wireless Sensor Networks. In sensor networks the nodes can be organized into clusters for one hop energy-efficient data routing. This work focuses on adaptive clustering of sensor nodes where the role of cluster head changes among nodes. The nodes take turn to become cluster head based on one or several parameters such...
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...
Clustering provides an effective way to prolonging the lifetime in many large scale wireless sensor network application. But the hot-spots problem is unavoidable in data transmission. In this work, we propose an unequal layered clustering protocol for periodical data gathering application to mitigate the hot-spots problem in large scale wireless sensor network. Layer closer to base station have smaller...
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...
Clustering sensors nodes as the basic of routing is an efficient mechanism for prolonging the lifetime of wireless sensor networks. In this paper, the high-efficient multilevel clustering is abstracted as a root tree which has the performances of the minimal relay set and the maximal weight according to graph theory. A mathematical model for the clustering virtual backbone is built. Based on the model,...
In a sensor network, a single event may be captured by hundreds of sensor nodes simultaneously. Data in these sensor nodes are thus highly correlated. Data transmission can be facilitated by employing data aggregation techniques. The traditional way to do data aggregation in a sensor network is to divide the network into clusters and elect one node as the cluster head in each cluster. These cluster...
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