Using Optimization Algorithm in a Multichannel Approach to Improve ZigBee Network Efficiency
| International Journal of Electronics and Communication Engineering |
| © 2025 by SSRG - IJECE Journal |
| Volume 12 Issue 11 |
| Year of Publication : 2025 |
| Authors : Kanchan, Savita Bhosale |
10.14445/23488549/IJECE-V12I11P112
How to Cite?
Kanchan, Savita Bhosale, "Using Optimization Algorithm in a Multichannel Approach to Improve ZigBee Network Efficiency," SSRG International Journal of Electronics and Communication Engineering, vol. 12, no. 11, pp. 146-154, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I11P112
Abstract:
A robust multichannel approach is presented in this paper for improving the efficiency of ZigBee networks. The objective is to increase the Packet Delivery Ratio (PDR) by applying a multichannel technique. Metaheuristic algorithms such as Simulated Annealing (SA) and Genetic Algorithm (GA) are used to implement the proposed multichannel approach. The operating frequency band for both ZigBee networks and Wireless LAN (WLAN) is 2.4 GHz, which is part of the industrial and scientific unlicensed band. This results in the problem of interference due to the presence of WLAN. This research aims to avoid the interference and improve the network efficiency of ZigBee networks to coexist with WLAN. Experimental evaluation is conducted by implementing a practical network, and the performance is evaluated in terms of different evaluation metrics such as packet transmission, computation time, transmission cycle time, PDR, and coexistence of ZigBee and Wi-Fi with optimization. New results display that the planned Hybrid GASA (Genetic Algorithm and Simulated Annealing) optimization approach significantly improved the PDR of ZigBee networks in the presence of interference from WLAN, compared to the existing Adaptive Channel Access (ACA) algorithm.
Keywords:
Wireless communication, ZigBee Networks, Genetic Algorithm, Simulated Annealing, Packet Delivery Ratio, Multichannel.
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