원문정보
초록
영어
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.
목차
1. Introduction
2. WSN Model Establishment
2.1. Path Transmission Delay
2.2. Network Consumption Model
3. Principles of Harmony Search
4. WSN Model Solution Based on HS
4.1. Encoding for Path Problem
4.2. Flow Chart Based on HS
4.3. Results
5. Conclusions
Acknowledgements
References