EAGER: Optimization in Wireless Mobile and Sensor Networks: A Novel Paradigm Based on Differential Evolution

该方案基于单目标和多目标差分进化，提出了一种新的改进方法来解决以下重要问题：(1)移动网络中基于服务质量的组播路由；(2)分层(两层)无线传感器网络中的节能路由；(3)移动自组网中特别考虑组移动性的稳定性感知的分簇；在存在能量约束、链路干扰和噪声的情况下，通过联合路由和链路调度来实现无线传感器网络的跨层优化，以达到更高的节能效果、更好的网络性能和更长的网络寿命。该方案的新颖之处在于将差异进化这一当今计算智能研究的前沿策略的力量带入了计算机网络中一组突出的NP难问题。它提出了对试解进行编码的新方案，并设计了用于这些问题的微分算子。这项研究跨越了传统的主题范围？它体现了电气工程、计算机通信、计算智能和统计机器学习思想的跨学科和变革性应用。这有可能在网络研究中开辟一个全新的方向。在这个无处不在和普遍计算的时代，这项研究的更广泛影响是深远的。所提出的方法提供的效率、灵活性和可控性可以用于节约成本和提高行业最终产品的质量。该提案还包括深思熟虑的研究和教育整合计划。PI将利用这个项目让高中生、女性和本科生/研究生参与到计算机科学研究中来。

This EAGER proposal seeks to develop new, improved approaches, based on single- and multi-objective differential evolution, to the following important problems:(i) QoS-based multicast routing in mobile networks; (ii) Energy-efficient routing in hierarchical (two-tiered) wireless sensor networks; (iii) Stability-aware clustering in mobile ad hoc networks with special consideration of group mobility; and (iv) Cross-layer optimization in wireless sensor networks by joint routing and link scheduling in the presence of energy constraints, link interference and noise.The goal is to achieve higher energy saving, better network performance and extended network lifetimes.The novelty of this proposal is that it brings the power of differential evolution, a cutting-edge strategy in present-day computational intelligence research, to a group of outstanding, NP-hard problems in computer networks. It presents novel schemes for encoding of trial solutions and also for designing the differential operator for these problems. This research cuts across conventional subject lines ? it embodies an interdisciplinary and transformative application of ideas from electrical engineering, computer communications, computational intelligence, and statistical machine learning. This has the potential to open up a radically new direction in networking research.The broader impact of this research is far-reaching in this era of ubiquitous and pervasive computing. The efficiency, flexibility, and controllability provided in the proposed methods can be used to save costs and improve the quality of the final products in the industry. The proposal also includes well-thought out plans for integrating research and education. The PI will use this project to involve high-school students, women, and undergraduate/graduate students in computer science research.