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Caching has shown the success in performance improvement for many wireless communications and networking systems. In this paper, we introduce a caching mechanism for the energy harvesting based Internet of Things (IoT) sensing service. In the service, a sensor harvests energy from an environment. The energy is stored in the battery, and the sensor uses it for sensing and transmitting the reading to...
In this paper, a reinforcement learning-based sleep scheduling for coverage (RLSSC) algorithm is proposed for sustainable time-slotted operation in rechargeable sensor networks. RLSSC is a two-stage sleep scheduling algorithm. It includes the precedence operator-based group formation algorithm and the Q learning-based active node selection algorithm. First, a precedence operator is designed in the...
Recently, Wireless Body Area Network (WBAN) has promise to revolutionize human daily life, which is built to serve a variety of healthcare and entertainment applications for human beings. The need for multiple sensors and constant monitoring lead these systems to be energy hungry and expensive with short operating lifetimes. In this paper, we study the popular power management technique Dynamic Voltage...
Energy efficiency is a primary concern in the design of algorithms and protocols for wireless sensor networks. For a long time, researchers have made great efforts to efficiently utilize the limited energy storage of sensors. Recently, it was shown that external energy resources can be harvested by the sensors in order to increase their lifetime. This paper elaborates on the role of recharging in...
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