Abstract: WSN refers to a group of spatially spread and dedicated sensors for watching and recording the physical conditions of the surroundings and organizing the collected information at a central location. Wireless device Networks (WSNs) give a brand new paradigm for sensing and scattering info from varied environments, with the potential to serve several and numerous applications. Current WSNs usually communicate directly with a centralized controller or satellite. On the opposite hand, a sensible WSN consists of various sensors spread across a geographical area; every sensor has wireless communication capability and su?cient intelligence for signal process and networking of the information. The structure of WSNs area unit tightly application-dependent and lots of services are smitten by application linguistics (e.g. application-speci?c processing combined with information routing). Thus, there's no single typical WSN application, and dependency on applications is over in ancient distributed applications. Therefore, besides the well explored power management techniques on the transceiver activity and wireless transmission, there's a necessity to instigate additionally the ability management on the sensing unit that reduces the power consumption of the power-hungry sensors. In this paper, we provide a proposed method for power optimization in WSN. In the proposed method, we are using Dijkstra’s algorithm to reduce the power consumption and finding the shortest power consumed path between Source to Destination using minimum number no nodes.
Keywords: WSN, power optimization, power hungry sensors, distributed sensing, power optimization methods.