Abstract
AbstractClustering for data aggregation is essential nowadays for increasing the wireless sensor network (WSN) lifetime, by collecting the monitored information within a cluster at a cluster head. The clustering algorithm reduces overall transmission of data from each sensor to the sink node thus energy spent by individual sensor node is minimized. The cluster heads collect all sensed information from their respective cluster members and performs data aggregation to transmit the data to the sink node. In this paper novel Voronoi Fuzzy multi hop clustering (V-FCM) algorithm is proposed for grouping the sensor node. This algorithm is a mixture of Voronoi diagram and modified Fuzzy C- Means clustering algorithm. In addition to clustering, data aggregation technique such as MAX, MIN and AVG is computed in each cluster head for further reduction of the number of data transmissions. Finally, the simulations are performed and the results are analyzed within the simulation set up to determine the performance of t...
Highlights
Cluster aggregation is an essential technique that naturally reduces energy costs in wireless sensor networks without compromising the quality of data delivery
In order to reduce the number of transactions, avoid data collision, here the data aggregation method is used and this eliminates the redundancy of data by the following three methods: MAX, MIN and AVG are computed in the cluster head and the computed values are sent to the sink node via multi hop data communication, thereby reducing the energy of individual sensor and increasing network lifetime
Likewise all the sensor nodes in the cluser transmits their sensed data to the cluster head, here it uses the aggregation process based on the average value of the all temperature received in the cluster head chi and this avg tm p value sends to the sink node by means of multi hop data communication as in Fig :3.This Multi hop data commnication is obtained by Euclidean minimum spanning tree (EMST) and
Summary
Cluster aggregation is an essential technique that naturally reduces energy costs in wireless sensor networks without compromising the quality of data delivery. The key idea of this process is to eliminate redundancy in data, minimizing the number of transmissions via integrated all the incoming data in the cluster head from diverse sources and enroute it to the sink. In order to reduce the number of transactions, avoid data collision, here the data aggregation method is used and this eliminates the redundancy of data by the following three methods: MAX, MIN and AVG are computed in the cluster head and the computed values are sent to the sink node via multi hop data communication, thereby reducing the energy of individual sensor and increasing network lifetime
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