Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 21, Pages: 1-6
T. Priya* and S. Justin Samuel
Background/Objectives: In recent years Mobile WSN (Wireless Sensor Networks) has obtained more attention because it has an ability to allow economical and effective solutions in different fields. When designing the Mobile WSN, energy saving becomes an issue. So a network clustering technique is used to divide the network into small group of clusters and every cluster group is controlled and examined by one node called CH (Cluster Head). An effectual procedure for clustering and LEACH (Low Energy Adaptive Cluster Head Election) can forcefully decrease the consumption of energy and improve the lifetime of network. The existing WSN contains more sensor nodes that vary from one to another based on performance, computing power, initial energy, etc. According to decrease congestion and undesirable power, during the transmission of data long distance, stable number of transmit nodes are placed and selected as router to keep the connectivity. Then the Transmitted node collects the aggregated data using cluster head and moves it to base station. In this system, we are going to work the tradeoff between data assembly latency and power saving in gathering of mobile data by exploring an aggregation of local data and the SenCar moving length. A framework of three layers is suggested in WSN for mobile data group, which comprises layer of cluster head, layer of mobile collector and layer of Sencar. Methods: This framework deals with Dual Data Uploading and Load Balanced Clustering which is abbreviated as LBC-DDU. In emergency situations the signal priority is not mentioned in LBC-DDU. To achieve this problem, we suggested the Multi sensor techniques of priority Based in WSN (Wireless Sensor Networks). To assess the efficiency of the suggested priority scheme a large simulation are regulated. The proposed algorithm of shuffling allows the base station to identify the head of cluster and transmit node on the basis of residual energy, node density, base station distance and nodes overlapping ratio, etc. Findings and Improvements: We correlate the SenCar mobility in multi-hop routing to complete the advantages of double data uploading, which eventually shows data collection in priority based with both short time uploading of data and short path of moving.
Keywords: Data Collection, Dual Data Uploading, Load Balanced Clustering, SenCar, Wireless Sensor Networks (WSNs)
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