H Chen, X Li, F Zhao - IEEE Sensors Journal, 2016 - ieeexplore.ieee.org
In this paper, a reinforcement learning-based sleep scheduling for coverage (RLSSC) algorithm is proposed for sustainable time-slotted operation in rechargeable sensor …
Dynamically adjusting the time duration of a node to stay active in one data collection period, ie, duty cycle, is an efficient strategy to save energy and prolong the lifetime of …
P Rawat, S Chauhan - Peer-to-Peer Networking and Applications, 2022 - Springer
Energy management is considered as a challenging task for applications related to the wireless sensor network. The cluster-based networks are among the most effective solutions …
Network lifetime remains as a significant requirement in Wireless Sensor Network (WSN) exploited to prolong network processing. Deployment of low power sensor nodes in WSN is …
R Wan, N Xiong, NT Loc - Human-centric Computing and Information …, 2018 - Springer
In wireless sensor networks, the high density of node's distribution will result in transmission collision and energy dissipation of redundant data. To resolve the above problems, an …
Y Wang, H Chen, X Wu, L Shu - Journal of Network and Computer …, 2016 - Elsevier
Abstract Energy efficiency in Wireless Sensor Networks (WSNs) has always been a hot issue and has been studied for many years. Sleep Scheduling (SS) mechanism is an …
Wireless Sensor Networks (WSNs) have revolutionized the era of conventional computing into a digitized world, commonly known as “The Internet of Things”. WSN consists of tiny low …
In Wireless Sensor Networks (WSN), energy efficiency is a fundamental issue that requires attention in the design of communication protocols. Energy waste occurs as a result of …
Abstract The Wireless Sensor Network (WSN) facilities were advanced in several digital wireless applications. However, managing the energy feature constraints is the main …