A Petri Net-Based Approach to Service Composition and Monitoring in the IOT

Recently, there are many improvements in Internet of Things (IOT). Through the recombination and optimization, the real-world devices can provide their functionality as web services in IOT. However, it is very difficult to cost-effectively access to the Internet of Things due to the environmental changes. In this paper, firstly, a Petri net-based model for service composition in IOT is proposed, which uses a comprehensive performance function rtc (involving reliability, response time and cost) to evaluate the cost-effectiveness. Then, the Find to Optimal algorithm is addressed to find a cost-effective composition path. Furthermore, when environments change dynamically, the FBased Monitor algorithm can well solve the composition. Finally, the experiments prove the soundness and correctness of our model and algorithms.