Markov Decision Process-Based Switching Algorithm for Sustainable Rechargeable Wireless Sensor Networks

摘要: In a tree-based wireless sensor network (WSN), tree structure rooted at sink node is usually created for efficient data collection. Recently, the use of solar harvesting technologies rechargeable nodes evolving. Moreover, in WSN, that belong to different routes will have energy dissipation due unequal harvested-energy and utilized-energy. Network sustainability efficiency are important issues network. this paper, Markov decision process-based switching algorithm has been designed sustainable collection while reducing consumption Furthermore, an analysis performed using real-time traffic pattern. A prediction model adopted estimate (based on power) nodes. state each defined based independent levels. The may change with time depending proposed process approach finds optimal policy nodes, which switch from one parent another levels preserve sustainability. detailed theoretical along simulation results show efficacy approach.