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"Orchestrating Virtual Network Functions in Wireless Powered IoT Networ" by Honglin Ren, Kwan Wu Chin et al. - Vimarsana News

"Orchestrating Virtual Network Functions in Wireless Powered IoT Networ" by Honglin Ren, Kwan Wu Chin et al.

Virtualization of devices operating in Internet of Things (IoTs) networks allows them to host functions or tasks from different users; these devices can thus execute multiple on demand sensing and data processing services concurrently. Devices, however, have limited energy and operational lifetime. To this end, this paper considers supporting Virtual Network Functions (VNFs) in a Radio Frequency (RF)-charging network with a Hybrid Access Point (HAP). Our aim is to minimize the energy used by the HAP to power devices in order to support deployed VNFs. It outlines a Mixed-Integer Linear Program ...

Source: uow.edu.au
"Maximizing Virtual Network Embedding Requests in RF-Charging IoT Netwo" by Tengjiao He, Kwan Wu Chin et al. - Vimarsana News

"Maximizing Virtual Network Embedding Requests in RF-Charging IoT Netwo" by Tengjiao He, Kwan Wu Chin et al.

This letter considers the problem of embedding the maximum number of Virtual Network Requests (VNRs) in an Internet of Things (IoT) network with Power Beacons (PBs). It presents a Mixed Integer Linear Program (MILP) and a heuristic to determine the transmit power allocation of PBs, mappings of virtual nodes and edges onto devices and links, and a link schedule to provision bandwidth to support traffic on virtual edges. Our results show the proposed heuristic attains 90.31% of MILP’s performance.

Source: uow.edu.au
"Targets Monitoring and Data Collection in Radio Frequency (RF) Energy " by Jia Fei - Vimarsana News

"Targets Monitoring and Data Collection in Radio Frequency (RF) Energy " by Jia Fei

An Internet of Things (IoT) network or a Wireless Sensor Network (WSN) consists of sensor devices and one or more sinks. In general, these sensor devices monitor or collect samples of targets, e.g., vehicles, or their surrounding environment; e.g., the temperature of a room. They then upload their collected samples to a sink for further analysis. A critical issue when operating sensor devices is their energy limitation. To this end, researchers have considered charging sensor devices using a variety of sources, include solar, wind, and Radio Frequency (RF). Consequently, sensor devices with en...

Source: uow.edu.au
"Data Collection in Multi-Hop Mobile Sink Aided Backscatter IoT Network" by Jia Fei, Kwan Wu Chin et al. - Vimarsana News

"Data Collection in Multi-Hop Mobile Sink Aided Backscatter IoT Network" by Jia Fei, Kwan Wu Chin et al.

This paper studies a novel wireless powered Internet of Things (IoT) network that consists of (a) a Hybrid Access Point (HAP) that charges devices and also helps facilitate backscattering transmissions, (b) devices that use active Radio Frequency (RF) and backscattering transmissions, and (c) a mobile data collector. Our aim is to maximize the amount of data received by the HAP and data collector. The main problem is to determine the charging duration of the HAP and link activation schedule of devices. We formulate a novel Mixed Integer Linear Program (MILP) and also propose a heuristic algori...

Source: uow.edu.au
"Novel Tasks Assignment Methods for Wireless Powered IoT Networks" by Honglin Ren and Kwan Wu Chin - Vimarsana News

"Novel Tasks Assignment Methods for Wireless Powered IoT Networks" by Honglin Ren and Kwan Wu Chin

Devices in Internet of Things (IoT) networks are required to execute tasks such as sensing, computation and communication. These devices, however, have energy limitation, which in turn bounds the number of tasks they can execute and their tasks execution time. To this end, this paper considers energy delivery, tasks assignment and execution in a Radio Frequency (RF) IoT network with a Hybrid Access Point (HAP) and RF-powered devices. We outline a novel Mixed-Integer Linear Program (MILP) to assign tasks to devices, and also to optimize the HAP’s charging duration. We also propose a heuristic...

Source: uow.edu.au