基于鲁棒优化的不确定环境下无线传感器网络生存期优化技术

Maximizing the lifetime of networks is the primary objective in the design of Wireless Sensor Networks (WSN). Since there is actual interference, attacks and other external factors which seriously affect the lifetime optimization problem for WSN, the robustness of algorithm is involved. The methods available are based mainly on traditional optimization or heuristics, without giving full consideration to the effects produced by the interference, errors and malicious attacks in modeling the networks, so the robustness is poor. Consequently, combined with the theories and methods of robust optimization, this project will research the models, theory and methods of lifetime optimization for WSN based on the robust linear programming, the theory of robust duality and the theory of robust game theory, aiming to solve the problems on lifetime optimization for WSN in practical application scenarios, and finally establish new lifetime optimization technologies for WSN under uncertain environments. Belonging to problem-driven cross-over studies, this project will have great theoretical and practical value in promoting the researches of new optimization algorithms and their applications in modeling complex networks, and in solving the key problems of lifetime in practical applications of WSN.

生存期最大化是无线传感器网络(WSN)设计中的主要目标。由于实际中存在的干扰、攻击等外部因素严重影响着WSN生存期的优化问题，这就涉及到优化算法的鲁棒性。现有WSN生存期优化方法主要基于传统优化或启发式算法，未充分考虑干扰、误差及恶意攻击等因素对网络的影响，鲁棒性较差。为此，本项目结合鲁棒优化理论与方法研究，针对WSN生存期问题的实际应用情景，研究基于鲁棒线性规划、鲁棒对偶理论及鲁棒非协作博弈论的WSN生存期优化模型、理论与方法，建立不确定环境下无线传感器网络生存期优化新技术。该项目属于问题驱动的交叉性研究，对解决WSN实际应用中的生存期问题、推进新型优化算法的研究及其在复杂网络建模中的应用具有重要理论和应用价值。

生存期最大化是无线传感器网络(WSNs)设计中的主要目标。由于实际中存在的干扰、攻击等外部因素严重影响着WSNs生存期的优化问题，这就涉及到优化算法的鲁棒性。现有WSNs生存期优化方法主要基于传统优化或启发式算法，未充分考虑干扰、误差及恶意攻击 等因素对网络的影响，鲁棒性较差。为此，本项目采用鲁棒优化理论与方法，针对WSNs生存期问题的实际应用情景，研究基于鲁棒线性规划鲁棒非协作博弈论的WSNs生存期优化模型、理论与方法，建立不确定环境下无线传感器网络生存期优化新技术。. 后期项目执行中结合项目申请书研究内容，在WSNs路由安全、数据聚合、节点定位、拓扑优化、无标度网络的传输能力、节点失效等方面均取得不错的成果。在研究过程中综合考虑传感器网络传输过程中的传输介质、实际环境等因素，基于传感器网络多类型服务质量要求，提高了传输效率及连通性，即从实际应用角度提高了网络的鲁棒性能，为WSNs热点研究问题提供了一定的理论基础。该项目属于问题驱动的交叉性研究，对解决WSNs实际应用中的生存期问题、推进新型优化算法的研究及其在复杂网络建模中的应用具有重要理论和应用价值。