Efficient Data Dissemination in Wireless Sensor Network Using Adaptive and Dynamic Mobile Sink Based on Particle Swarm Optimization

Wireless sensor networks are an emergent technology for monitoring physical world. The energy constriction of Wireless sensor networks makes energy (resource) saving and elongating the network lifetime becomes the utmost imperative goalmouths of numerous routing conventions. Network segment division is a strategic technique used to prolong the lifetime of a sensor network by plummeting energy consumption. Subsequently sensor nodes adjacent to sink have to tolerate more traffic encumbrance to forward data, they will hastily diminish their energy which directs network partition and energy hole problem. Introducing mobility into sensor networks brings in new prospects to mend network performance in rapports of energy consumption, network lifetime, latency, throughput, etc. In this paper, a protocol is proposed for efficient data dissemination using mobile sink in wireless sensor networks. We used multiple mobile sink in order to gather the sensed data from predetermined paths and it moves in forward direction and returns back to the same position. The predetermined paths are calculated intelligently through particle swarm optimization (PSO) based on heterogeneity of energy (current resources with respect to average resources) and network density as an objective functions. In order to gather data from reference area, mobile sinks stay temporarily at some fixed point. The potency of our proposed algorithm will be in terms of network lifetime, number of dead sensors, energy consumption, end-to-end delay, network throughput, etc.