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"Link Schedulers for Green Wireless Networks with Energy Sharing" by Luyao Wang, Kwan Wu Chin et al.

"Link Schedulers for Green Wireless Networks with Energy Sharing" by Luyao Wang, Kwan Wu Chin et al.
uow.edu.au - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from uow.edu.au Daily Mail and Mail on Sunday newspapers.

Integer Linear Program , Energy Harvesting , Mixed Integer Linear Program , முழு நேரியல் ப்ரோக்ர்யாம் , ஆற்றல் அறுவடை , கலப்பு முழு நேரியல் ப்ரோக்ர்யாம் ,

"Green Multi-Stage Upgrade for Bundled-Link SDNs with Budget and Delay " by Lely Hiryanto, Sieteng Soh et al.

"Green Multi-Stage Upgrade for Bundled-Link SDNs with Budget and Delay " by Lely Hiryanto, Sieteng Soh et al.
uow.edu.au - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from uow.edu.au Daily Mail and Mail on Sunday newspapers.

Integer Linear Program , Software Defined Network , Green Multi Stage Switch Upgrade , முழு நேரியல் ப்ரோக்ர்யாம் , மென்பொருள் வரையறுக்கப்பட்டுள்ளது வலைப்பின்னல் , பச்சை பல நிலை சொடுக்கி மேம்படுத்தல் ,

"A Novel Distributed Resource Allocation Scheme for Wireless Powered Co" by Tengjiao He, Kwan Wu Chin et al.

Abstract
This paper considers a novel Internet of Things (IoT) network comprising of sensor devices and Power Beacons (PBs); both types of nodes are equipped with a Cognitive Radio (CR). In addition, these sensor devices are powered by Radio Frequency (RF) signals from PBs. Our aim is to maximize the minimum rate of devices acting as sources. We outline the first Mixed Integer Linear Program (MILP) that jointly optimizes the channel assignment of PBs and devices, beamforming vector of PBs, data routing over multiple hops and link activation schedule of devices. We also design a distributed protocol called Distributed Max-min Rate with Cognitive Radio (D-MRCR) for use by devices and PBs. Devices set their operation mode using local information and use a game theory based approach to iteratively adjust their transmit power. On the other hand, each PB employs a Linear Program (LP) to determine its beamforming vector. Our results show that the max-min rate of D-MRCR is within 51.8 ....

Integer Linear Program , Linear Program , Power Beacons , Cognitive Radio , Radio Frequency , Mixed Integer Linear Program , Distributed Max Min Rate , Array Signal Processing , Channel Access , Cognitive Radio , Istributed Protocols , Nternet Of Things , Wireless Charging , Wireless Sensor Networks , முழு நேரியல் ப்ரோக்ர்யாம் , நேரியல் ப்ரோக்ர்யாம் , அறிவாற்றல் வானொலி , வானொலி அதிர்வெண் , கலப்பு முழு நேரியல் ப்ரோக்ர்யாம் ,

"Maximizing Sampling Data Upload in Ambient Backscatter Assisted Wirele" by Ying Liu, Kwan Wu Chin et al.

This paper studies a novel problem that aims to maximize the number of uploaded samples by devices in wireless powered Internet of Things (IoTs) networks. To do so, it takes advantage of ambient backscatter communications (AmBC) to help sensor devices conserve energy, and thus leaving them with more energy to collect samples. We outline a Mixed Integer Linear Program (MILP) that aims to determine the operation mode of each device in each time slot in order to maximize the total amount of uploaded samples. We also present a heuristic approach to set the operation mode of devices based on their residual energy and data. Our results show that as compared to the case without AmBC, the total data uploaded by devices increases by 48% and 45% for the MILP and heuristic, respectively – both of which exploit AmBC. ....

Integer Linear Program , Mixed Integer Linear Program , Ambient Backscatter Communications , Data Communication , Nternet Of Things , Rink Schedule , Radio Frequency , Wireless Communication , Ireless Powered Networks , Wireless Sensor Networks , முழு நேரியல் ப்ரோக்ர்யாம் , கலப்பு முழு நேரியல் ப்ரோக்ர்யாம் ,

"A Novel Hybrid Access Point Channel Access Method for Wireless Powered" by Xiaoyu Song and Kwan Wu Chin

Abstract
This paper considers data collection in a wireless powered Internet of Things (IoT) network. Specifically, it addresses the novel problem of determining the mode of each time slot, where a Hybrid Access Point (HAP) needs to decide whether to charge or collect data from devices. Also, in data time slots, the HAP has to decide on a device for data transmission. To this end, we outline an Integer Linear Program (ILP) to determine the mode and the transmitting device over a given planning time horizon. We also propose a rolling horizon approach that uses a Gaussian Mixture Model (GMM) to estimate channel gains. Our results indicate that the amount of data collected by the HAP is affected by its charging power, distance between the HAP and each device, number of devices and planning horizon length. The rolling horizon approach allows the HAP to collect 740% more data as compared to competing approaches. ....

Integer Linear Program , Hybrid Access Point , Gaussian Mixture Model , முழு நேரியல் ப்ரோக்ர்யாம் , கலப்பு நுழைவு பாயஂட் ,