GFCO: A Genetic Fuzzy-Logic Channel Optimization Approach for LR-WPAN
Imran Ali Qureshi, Kabeer Ahmed Bhatti, Jianqiang Li, Tariq Mahmood, Muhammad Imran Babar, Muhammad Mukhtar Qureshi · IEEE Access · 2023
The objective of the IEEE 802.15.4 standard is to establish the foundation for a low-rate wireless personal area network that focuses on ubiquitous communication between devices while maintaining a reasonable data rate. Its popularity has increased significantly due to its implementation at low power and cheap cost, and the need to improve its performance has become a need. The most persistent issues are throughput, packet delivery ratio (PDR), packet loss ratio (PLR), and packet delay (PD). The advances in wireless technology place a strong emphasis on overcoming these problems. To accomplish the stated goals, GFCO: A genetic fuzzy-logic approach to optimize channel of IEEE 802.15.4 LR-WPAN is proposed. It employs theFuzzyLogicController(FLC), and theGeneticAlgorithm(GA), by doing so, GA optimally modifies the FLC. For this, five algorithms are presented, Algorithm-1: GFCO for LR-WPAN, Algorithm-2:GA1for GFCO, Algorithm-3:FLC1for GFCO, Algorithm-4:GA2for GFCO, and Algorithm-5:FLC2for GFCO. The suggested GFCO approach is assessed forRandomExponentialBackoff(REB) algorithm, which was chosen as a fundamental algorithm, along with theSurvivability Aware Channel Allocation(SACA) algorithm, taken as a benchmark study. Two scenarios are implemented in NS-3.20 in conjunction with fuzzylite in a hospital environment. The first scenario is implemented in randomly deployed 10 sensors on a person’s body (2x2m2area), whereas the second scenario is implemented in 20x20m2area of a ward in hospital having 10 to 50 persons. The simulated outcomes of both scenarios were recorded for REB, SACA, and GFCO. These results are then used to calculate the throughput, PDR, PLR, and PD and draw a graphical representation. The proposed GFCO technique significantly improved efficiency, according to the results of the simulated testing.