EFFICIENT DATA GATHERING BY MOBISINK IN WSN USING OPTIMIZED ROUTE POINTS INTELLIGENCE SYSTEM (ORPIS)

摘要

Evolution of mobile sink(MS) has gained significant importance in the wireless sensor network(WSN). With the increase in demand of sensor network technology, it is important to maintain the QoS parameters to meet the requirements of the intended application. Several studies have been done to improve the energy usage of the sensor network and latency. Harvesting of energy to sensor nodes is helpful in field areas related applications. However, finding best route path of MobiSink node is a challenging. In this paper, a new protocol is derived which introduces gaining of self-knowledge by MobiSink based on network behavior. Optimized route points are calculated based on prediction analysis by MobiSink. Data generation rate of source nodes helps in finding the route paths frame duration for MobiSink which improvises the data gathering. A protocol is simulated with NS2 tool and the results show better performance of the proposed protocol.