Fine-Grained Task Distribution for Mobile Sensor Networks with Agent Cooperation Relationship

摘要

To enhance the comprehensive research on the distribution sensing tasks in Mobile Sensor Networks (MSNs) nowadays, we proposed Task Distribution algorithm based on Relationships of Agents (TDRA) in this paper. First, the score and feature factors of the mobile agents are considered comprehensively in the direct correlation model, and it constructs the correlation model by combining the direct and indirect correlation samples. Second, we introduce a Mobility Model based on the Exponential Distribution (MMED), and obtain the calculation method of probability parameter λ according to the analysis in this paper. At last, we integrate the constructed correlation model and mobility model; then, we apply to the algorithm of task distribution. By the experiments on the algorithms, it indicates that the proposed algorithm improves the performance of task distribution significantly, and offers a more accurate and reliable service.