Energy Optimal Data Propagation for Maximizing the Lifespan of Sensor Networks

Traffic patterns in wireless sensor networks (WSNs) generally follow a many-to-one model. Sensor nodes close to static sinks will deplete their inadequate energy extra quickly than additional antennas, since they will have supplementary data to a head during multi hop transmission. This will source set of connections partition, remote nodes and much shortened network lifetime. Thus, how to balance power consumption for sensor nodes is an important research issue. Exploiting sink mobility based technology is in advance more and new recognition in recent years to achieve better energy efficiency and lifetime performance. portable sink nodes touching at a certain speed through a sensing ground can accumulate monitored information from the stagnant sensors in a single-hop or multi-hop transmission method. The proposed system focus the influence of multiple mobile sink nodes on power consumption and network lifetime, and mainly focus on the selection of movable sink node number moreover the selection of parking positions, as fine as their impact on performance metrics above. Simulation results show that the proposed routing algorithm has better concert than traditional routing ones in terms of energy consumption. For the lifetime maximization of the network is improved with the help of Ant Colony Optimization algorithm at the same time as well as Short cut tree routing algorithms are used. Without referring the router table information data could be forwarded through the shortest path. And the verification process of the data could be achieved by Short cut tree routing algorithm. By using the proposed algorithm the lifetime of the network could be increased.