Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Network

The Primary concern in a Wireless Sensor Network is Energy consumption. The main problem in the network is when the data is sent from node to sink, the data will be lost due to polling point problem or low energy of node. Multi sencar technique is used to overcome polling point problem. In this paper, the tradeoff between energy saving and data gathering latency in mobile data gathering by traverse a local data aggregation and the moving length of the SenCar is explained. A three-layer framework is proposed for mobile data collection in WSN, which includes the sensor layer, cluster head layer, and mobile collector ( ie sencar) layer. The framework employs dual mobile collectors. One to collect the information from the cluster head for the normal scenario. The other mobile collector to act when a priority data occurs. By this way the load is balanced between the mobile collectors. In this paper only one mobile collector in active at a time. When the huge data is to be transferred the data is treated as priority data. The other mobile collector comes in to action only when the priority data arises. By this way one mobile collector can be charged, when the other is being used. Thus the energy of sencar is prevented. Also the number of clusters and the number of sensors in the cluster are maintained to minimum by optimal cluster formation.