Optimized Energy Harvesting, Cluster-Head Selection and ChannelAllocation for IoTs in Smart Cities
| Autor: | Saleem Aslam, Ju Wook Jang, Kyung Geun Lee, Najam Ul Hasan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
RF energy harvesing
internet of things cognitive radio channel scheduling quality of service clustering heterogenity Computer science Distributed computing 02 engineering and technology lcsh:Chemical technology channelscheduling 01 natural sciences Biochemistry Article Analytical Chemistry 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Channel allocation schemes business.industry Quality of service 010401 analytical chemistry 020206 networking & telecommunications Atomic and Molecular Physics and Optics 0104 chemical sciences Embedded system Radio frequency business Energy harvesting Energy (signal processing) Efficient energy use Integer (computer science) |
| Zdroj: | SENSORS(16): 12 Sensors, Vol 16, Iss 12, p 2046 (2016) Sensors; Volume 16; Issue 12; Pages: 2046 Sensors (Basel, Switzerland) |
| Popis: | This paper highlights three critical aspects of the internet of things (IoTs), namely (1) energy efficiency, (2) energy balancing and (3) quality of service (QoS) and presents three novel schemes for addressing these aspects. For energy efficiency, a novel radio frequency (RF) energy-harvesting scheme is presented in which each IoT device is associated with the best possible RF source in order to maximize the overall energy that the IoT devices harvest. For energy balancing, the IoT devices in close proximity are clustered together and then an IoT device with the highest residual energy is selected as a cluster head (CH) on a rotational basis. Once the CH is selected, it assigns channels to the IoT devices to report their data using a novel integer linear program (ILP)-based channel allocation scheme by satisfying their desired QoS. To evaluate the presented schemes, exhaustive simulations are carried out by varying different parameters, including the number of IoT devices, the number of harvesting sources, the distance between RF sources and IoT devices and the primary user (PU) activity of different channels. The simulation results demonstrate that our proposed schemes perform better than the existing ones. |
| Databáze: | OpenAIRE |
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