A Load Balancing Optimization Algorithm for Context-Aware Wireless Sensor Networks Based on Fuzzy Neural Networks

摘要

In wireless sensor networks, the load imbalance will seriously affect the performance of the whole networks, such as local traffic overload, congestion, idle resources and other problems. In this paper, a novel fuzzy neural network algorithm is proposed to solve the problem. First, the problem of load balancing in context-aware wireless sensor networks is analyzed, and the mathematical model is built up. Second, a load balancing optimization algorithm is brought combing neural network and fuzzy theory, and the whole process is also illustrated including learning, association, recognition and information processing. Third, through analyzing and studying a case, a load balancing problem is solved by simulation and comparison to show the potential of the proposed method. Last, some interesting conclusions and future work are indicated at the end of the paper.