Science & Engineering Research Support soCiety (SERSC)
Aiming at different service quality requirements under different circumstances of Wireless Sensor Network (WSN), Harmony Search (HS) algorithm is used to solve the low-delay and low-energy double-objective optimization problem in wireless sensor networks. First, analyze the low-delay and low-energy model and establish the objective function. Then, use the priority-based path encoding algorithm to update harmony memory iteratively while searching the optimal path. Finally, simulation of 100-node network is carried out by using MATLAB. The results show that sensor network data transmission path can be controlled according to the users' needs of delay and power.