Published Paper Details:

In wireless sensor networks, the sensor nodes find the route towards the sink to transmit data. Data transmission happens either particularly to the sink node or through the intermediate nodes. As the sensor node has limited energy, it is imperative to create productive routing strategy to drag out network life time. It is highly dynamic network and specific to the application, and additionally it has limited energy, storage, and processing capability. Every sensor network node can be made out of different sensors that are utilized to collect data is exchanged to the client through system and furthermore control some physical procedures. PSO is a populace based methodology for progression. It is a computational knowledge oriented, stochastic, populace based global optimization strategy. The mobile agents can move wherever and at whatever point and they are accountable for social event the recognized data and forward them to the settled network involving Access Point. There are different methodologies for studying the mobility for data collection in WSNs. In this paper, Differential Evolution used for clustering and CH formation. Mobile sink is used for the data collection and increase the network lifetime.