作者: Changlin Yang , Kwan-Wu Chin
关键词: Stochastic programming 、 Energy harvesting 、 Schedule 、 Computer science 、 Battery (electricity) 、 Computer network 、 Key distribution in wireless sensor networks 、 Mobile wireless sensor network 、 Wireless sensor network 、 Stochastic geometry models of wireless networks
摘要: A fundamental problem in Wireless Sensor Networks (WSNs) is determining the minimum active time of a set sensor nodes such that they monitor all targets for maximum time. However, existing solutions do not consider random recharging rates and staled battery level information, resulting an activation schedule realizable by nodes. Henceforth, we propose Stochastic Programming (SP) based approach considers levels. Experimental results show our SP achieves 80% theoretically achievable coverage lifetime.