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Reliability-Constrained Throughput Optimization of Industrial Wireless Sensor Networks With Energy Harvesting Relay
- Source :
- IEEE Internet of Things Journal. 8:13343-13354
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In industrial wireless sensor networks (IWSNs), a lot of energy is wasted in the form of electromagnetic radiations. It can be effectively utilized with energy harvesting (EH), which absorbs part of the energy in the transmission signal but reduces the throughput and reliability of IWSNs. In this article, we study the throughput optimization of IWSNs with EH from the interference radio-frequency (RF) signal considering the reliability constraint of the industrial information transmission. Under the premise of limited energy supply of EH relays, the throughput maximization of IWSNs is formulated as a nonconvex optimization problem. In order to transform the nonconvex problem to a convex optimization problem, the successive convex approximation (SCA) approach is adopted. Furthermore, a power allocation algorithm is designed to maximize the total transmission rate of the network. Simulation results demonstrate that the proposed algorithm can maximize the throughput under the primise of SINR reliability.
- Subjects :
- Mathematical optimization
Optimization problem
Computer Networks and Communications
Computer science
Reliability (computer networking)
020206 networking & telecommunications
02 engineering and technology
Computer Science Applications
law.invention
Transmission (telecommunications)
Hardware and Architecture
Relay
law
Signal Processing
Convex optimization
Computer Science::Networking and Internet Architecture
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Throughput (business)
Wireless sensor network
Energy harvesting
Information Systems
Subjects
Details
- ISSN :
- 23722541
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Internet of Things Journal
- Accession number :
- edsair.doi...........0b5e9453c913562be9d278f3cdc775fa