Yazar "Kosunalp S." için listeleme
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An energy prediction algorithm for wind-powered wireless sensor networks with energy harvesting
Kosunalp S. (Elsevier Ltd, 2017)Energy harvesting (EH) from environmental energy sources has the potential to ensure unlimited, uncontrollable and unreliable energy for wireless sensor networks (WSNs), bringing a need to predict future energy availability ... -
Harvesting solar energy for limited-energy problem in wireless sensor networks
Kosunalp S.; Cihan A. (Institute of Electrical and Electronics Engineers Inc., 2017)The major problem in wireless sensor networks (WSNs) is the limited-energy source, typically small batteries, employed by sensors. In order to prolong the lifetime of the WSNs, a lot of approaches have taken the limited-energy ... -
MAC protocols for energy harvesting wireless sensor networks: Survey
Kosunalp S. (ETRI, 2015)Energy harvesting (EH) technology in the field of wireless sensor networks (WSNs) is gaining increasing popularity through removing the burden of having to replace/recharge depleted energy sources by energy harvester ... -
A New Energy Prediction Algorithm for Energy-Harvesting Wireless Sensor Networks With Q-Learning
Kosunalp S. (Institute of Electrical and Electronics Engineers Inc., 2016)Traditional wireless sensor networks (WSNs) face the problem of a limited-energy source, typically batteries, resulting in the need for careful and effective utilization of the energy source. However, inevitable energy ... -
Practical implementation and stability analysis of ALOHA-Q for wireless sensor networks
Kosunalp S.; Mitchell P.D.; Grace D.; Clarke T. (ETRI, 2016)This paper presents the description, practical implementation, and stability analysis of a recently proposed, energy-efficient, medium access control protocol for wireless sensor networks, ALOHA-Q, which employs a ... -
Use of Q-learning approaches for practical medium access control in wireless sensor networks
Kosunalp S.; Chu Y.; Mitchell P.D.; Grace D.; Clarke T. (Elsevier Ltd, 2016)This paper studies the potential of a novel approach to ensure more efficient and intelligent assignment of capacity through medium access control (MAC) in practical wireless sensor networks. Q-Learning is employed as an ...