Rssi Based Clustering Algorithm for Wireless Sensor Networks

Technological developments on wireless communication systems and sensors productivity-enhancing wireless sensor networks have led the development of new algorithms. Wireless sensor devices (nodes) were developed along with the use of these two cases, and data collected has been achieved forwarded to a central location. Studies in the literature were shown that, WSN (wireless sensor networks) systems are focused on the detection the position of the nodes in the network and worked for energy efficiency. One of the major activities in the wireless sensor network is to create their own organizing clusters with selected cluster head, each cluster can send the data. Cluster head selection is based on a random number that is above the threshold value is calculated by the addition of the number, etc. parameters of nodes in the network or having highest energy value. In this study, the cluster head selection is performed by calculating a distance between nodes in the cluster. Distance information is obtained from RSSI (Received Signal Strength Indicator). Each node in the network, all nodes can communicate with them on the record and finds the average RSSI level. The highest average per cluster node is selected and published in this case to the other node. The cluster head node will include its own cluster the node that is lower than the average RSSI. Cluster head selection and clustering process continues with iterations until all nodes clustering in the network. Experimental studies conducted with simulation program developed C # .net environment and network efficiency are investigated. In the results, the cluster is first created which settled in the center of the network, and the center population was determined to be more than others. In this case, a threshold value must be determined for correcting the data next to the average RSSI. So, accordingly the necessity of re-aggregation network is detected.