Stochastic-reinforcement learning assisted dynamic power management model for zone-routing protocol in mobile ad hoc networks
SK Prashanth, S Senthil - Wireless Personal Communications, 2021 - Springer
Abstract The Zone Routing Protocol of Mobile Ad Hoc Networks is one of the most reliable
and efficient routing protocols. However, maintaining Quality of Service, energy-efficiency …
and efficient routing protocols. However, maintaining Quality of Service, energy-efficiency …
Dynamic network state learning model for mobility based WMSN routing protocol
The rising demand of wireless multimedia sensor networks (WMSNs) has motivated
academia-industries to develop energy efficient, Quality of Service (QoS) and delay …
academia-industries to develop energy efficient, Quality of Service (QoS) and delay …
Mission-Oriented System Architecture and Optimal Aerial Terrain Guarding for a Collaborative Team of UAVs
H Na - 2022 - search.proquest.com
Thanks to rapid technological development, multi-Unmanned Aerial Vehicle (UAV) systems
have been actively adopted in the military to accomplish various missions, including …
have been actively adopted in the military to accomplish various missions, including …
Architectural analysis for wirelessly powered computing platforms
A Kapoor, JP de Gyvez - IEEE transactions on very large scale …, 2013 - ieeexplore.ieee.org
We present a design framework for wirelessly powered generic computing platforms that
takes into account various system parameters in response to a time-varying energy source …
takes into account various system parameters in response to a time-varying energy source …
[PDF][PDF] A Robust Fault-Tolerant and QoS Centric Routing Protocol for Mobile-WMSNs: FTQ-RPM
Objectives: In this study we developed a routing protocol named Fault-Tolerant QoS Centric
Routing Protocol for WMSN (FTQ-RPM) where the classical RPL routing protocol was …
Routing Protocol for WMSN (FTQ-RPM) where the classical RPL routing protocol was …
[引用][C] Dynamic Network State Learning Based Power Management Model for Network Condition Aware Routing Protocol
S Gupta, C Keshavamurthy