Q-LEARNING NOVEL ROUTING ALGORITHM IN WIRELESS SENSOR NETWORKS
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Abstract
Wireless sensor Network (WSNs) have become a hot research point in view of their different amphibian applications. As the submerged sensor hubs are controlled by worked in batteries which are difficult to supplant, expanding the system lifetime is a most pressing need. Because of the low and variable transmission speed of sound, the structure of solid steering calculations for UWSNs is testing. Right now, propose   a Q-learning based Novel Routing calculation to expand the lifetime of submerged sensor systems. In Q-learning based Novel Routing, an information assortment stage is intended to adjust to the dynamic condition. With the utilization of the Q-learning procedure, Novel Routing can decide a worldwide ideal next jump as opposed to an avaricious one. We define an activity utility capacity where leftover vitality and proliferation delay are both considered for satisfactory directing choices. In this way, the Novel Routing calculation can broaden the system lifetime by consistently conveying the leftover vitality and give lower start  to finish delay. The reenactment results show that our convention can yield almost a similar system lifetime, and can diminish the start to finish delay by 20–25% compared with classic lifetime extending protocol.
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References
Wenzheng,xu.;Weifa,Lyang;Xiaohua,jia;Zinchuan,xu;Zheng,Li;yiguang, Liu.Maximizing Sensor lifetime with minimal service cost of a mobile charger: A comprehensive survey. Int. J. Distrib. Sens. Netw. 2015, 11, 1–14. [CrossRef],2018,IEEE transaction on mobile computing.
Adelina Madhja,Sotiris Nikoletseas, and Alexandros A.Voudourisâ€Adaptive Wireless power transfer in mobile AdHoc Networkâ€,2018,International Conference on Distributed Computing in Sensor System
Abhinav Tomar,Amar Kaswan and Prasanta K.Jana :On demand energy provisioning in wireless sensor network with capacity constrained mo- bile chargersâ€2018,International Conference on Contemporary Comput- ing(IC3)
Chi Lin, Yanhong Zhou, Fenglong Ma, Jing Deng, Lei Wang, and Guowei Wu “Minimizing Charging Delay for Directional Charging in Wireless
Fig. 8. Showing Q-Route
Rechargeable Sensor networksâ€,2019,IEEE Conference on Computer Communications
Hao Hu “Wireless Power Transfer in Human Tissue via Conformal Strongly Coupled Magnetic Resonance “ 2015,IEEE Florida International University
Jie Hao, Guojian Duan, Baoxian Zhang, Cheng Li “An Energy- Efficient On-Demand Multicast Routing Protocol for Wireless Ad Hoc and Sensor networks “,2013,IEEE Global Communications Confer- ence(GLOBECOM)
Ahmad H. Dehwah, Souhaib Ben Taieb, Jeff S. Shamma “Decentral- ized energy and power estimation in solar-powered wireless sensor networksâ€,2015,International Conference on Distributed Computing in Sensor Systems
Yuanchao Shu “Near-optimal Velocity Control for Mobile Charging in Wireless Rechargeable Sensor Networksâ€,2016,IEEE Transactions on Mobile Computing
Zhenchen Wui,Fei Liuâ€Q Learning Algorithm for task Scheduling based on improved Support Vector Machine(ISVM) in WSNsâ€International Conference on Computer Networks
Sheikh, A.A.; Felemban, E.; Felemban, M.; Qaisar, S.B. Challenges and opportunities for underwater sensor networks. In Proceedings of the 12th IEEE International Conference on Innovations in Information Technology (IIT), Al Ain, United Arab Emirates.
Qian, L.; Zhang, S.; Liu, M.; Zhang, Q. A MACA-Based Power Control MAC Protocol for Underwater Wireless Sensor Networks. In Proceedings of the IEEE/OES Ocean Acoustics (COA), Harbin, China, 9–11 January 2016; pp. 1–8.
Kacimi, R.; Dhaou, R.; Beylot, A.L. Load balancing techniques for life- time maximizing in wireless sensor networks. 2010, IEEE International Conference on Communications