RFID Reader Antenna Optimal Deployment Based on Improved Elephant Herding Algorithm

With the rapid development of radio frequency identification (RFID) technology, in a variety of special environments (such as factories, warehouses, prisons), the demand for optimal deployment of RFID reader antennas has attracted extensive attention. At present, the deployment of RFID reader antenna is very difficult, there are many constraints and it is difficult to find the optimal solution, this paper proposes an improved element herding algorithm(IEHO) In the RFID network planning, the weighted coefficient method is used to optimize the four objectives of coverage, load balance, economic benefit and reader conflict at the same time. The experimental results show that compared with the bacterial foraging optimization algorithm (MC-BFO), particle swarm optimization (PSO) and constrained bat algorithm (BA-OM), the coverage increases by 9%, 17% and 22% respectively. The load balance is increased by 10.91% and 56.60% respectively, and the reader interference problem is well improved.