受限条件下物联网传感器部署与采集智能算法研究

物联网在海洋牧场、海洋环境监测、海洋资源利用中正不断拓展应用。在南海海域实现传感器部署与信息采集有着重要意义，同时面临诸多限制。本项目将分析受限条件下物联网传感器部署与采集的技术瓶颈并提出相应的解决方案。针对传感器部署时传输速率、能耗和节点数目受限提出基于多维多选择背包问题的部署优化算法，针对采集数据完整性受限提出使用连续型深度玻尔兹曼机的高精度数据重构算法，针对移动采集时能量和时间受限提出基于改进粒子群的多目标优化算法进行移动机器人在线路径规划。本项目提出的智能算法可以优化传感器部署位置，增加获取的信息量，降低采集数据完整性要求，提高采集效率，减少物联网部署成本，从而突破物联网传感器在实际部署与采集应用时的瓶颈限制。本项目还将搭建实际的物联网传感器部署与采集关键技术的实验验证系统。本项目在广域物联网的部署优化、数据重构和移动采集进行创新探索，为物联网在海洋信息感知应用提供技术支持。

The Internet of Things (IoT) is expanding and applying in marine pastures, marine environment monitoring, and marine resource utilization. There are very important for sensor deployment and information collection in the South China Sea, and there are also many limitations. This project will analyze the technical bottlenecks and propose solutions for IoT sensor deployment and acquisition under limited conditions. An optimized deployment algorithm based on multi-dimensional multi-choice knapsack problem is proposed to deal with the limitations of transmission rate, energy consumption and number of nodes during sensor deployment. A high-precision data reconstruction algorithm based on continuous deep Boltzmann machine is proposed to deal with the limitation of acquisition data integrity. To deal with the energy and time constraints in mobile acquisition, a multi-objective optimization algorithm based on modified particle swarm optimization is proposed for online path planning of mobile robots. The intelligent algorithm proposed in this project can optimize the sensor deployment location, increase the amount of obtained information, reduce the integrity requirements of the collected data, improve the collection efficiency, and reduce the cost of IoT deployment, thus breaking the bottleneck limitations of the IoT sensor in actual deployment and acquisition applications. The project will also build an actual experimental verification system for the deployment and collection of key technologies for IoT sensors. The project explores the deployment optimization, data reconstruction and mobile acquisition of the wide-area IoT, and provides technical support for the IoT applications.