A novel relay placement method for smart energy IoT systems in offices with genetic algorithm
Vol 1, Issue 1, 2023
Issue release: 30 December 2023
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Abstract
Smart energy in large offices and organizations is an important research area of the Internet of Things (IoT). The energy efficiency of buildings is vital for the environment and global sustainability. To achieve satisfactory performance for this goal, WiFi access point (AP) indoor coverage is of high importance. As it costs a lot to add more WiFi to have good coverage in all parts of the office’s buildings, we consider relay node (RN) instead of adding more APs. So in this paper, we propose a novel RN placement in order to improve the indoor coverage of offices considering the signal attenuation using a path-loss model as the main measure for determining positions. The main problem is the placement of these RNs and the required number of them by considering existing APs. At first, we obtain the radio propagation model parameters by considering the data that are collected from the AP. Then based on these parameters, the proposed solution uses a genetic algorithm (GA) for RN placement optimization problem. The experimental results display the effectiveness of the proposed solution for the RN placement problem.
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References
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Copyright (c) 2023 Nazanin Moosavi, Hassan Daryanavard
This work is licensed under a Creative Commons Attribution 4.0 International License.
Prof. Maode Ma
Qatar University, Qatar
Processing Speed (2023)
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- ＜7 days: submission to screening review decision
- 48 days: received to accepted
- 59 days: received to online
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