Emergent strategies to optimise collaborative transmission schemes

优化协同传输方案的应急策略

• 批准号: 133877679
• 负责人: Professor Dr. Michael Beigl
• 金额: --
• 依托单位: Lehrstuhl für Pervasive Computing Systems
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2009
• 资助国家: 德国
• 起止时间: 2008-12-31 至 2011-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/133877679?language=en
• 关键词: Emergent; strategies; optimise; collaborative; transmission

Cooperative and collaborative strategies for transmission in wireless sensor networks enable transmission range restricted nodes to reach distant receivers by superimposing transmission signals. This addresses an important practical problem of wireless sensor networks. In this proposal we extend this strategy by emergent properties: We establish a method to adapt the collaborative emergent optimisation process by a) remembering previous behaviour from similar situations, b) using this information to adapt the current optimisation run by using randomised and feedbackbased approaches to determine an optimally pre-synchronised set of nodes for transmission and c) optimising and learning observed optimisation behaviour for the random process, which is better than the behaviour we had in memory so far. Using feedback information is a natural and intuitive approach to adapt to the the scenario's dynamics without the requirement for external intervention. Our approach will therefore show both emergent and self-organisation properties. We will demonstrate the suitability of the method by implementing and deploying a sensor network with 100 nodes in an setting, and testing this also in an agriculture setting. The demonstration will show how to globally minimise and equalise the energy used for collaborative transmission.

无线传感器网络中的协作和协作传输策略使传输范围受限的节点能够通过叠加传输信号到达遥远的接收器。这解决了无线传感器网络的一个重要实际问题。在本提案中，我们通过涌现属性扩展了这一策略：我们建立了一种方法来适应协作紧急优化过程，a)记住类似情况下的先前行为，b)使用这些信息来适应当前的优化运行，通过使用随机化和基于反馈的方法来确定传输的最佳预同步节点集，c)优化和学习随机过程中观察到的优化行为，这比我们迄今为止在内存中的行为更好。使用反馈信息是一种自然而直观的方法，可以在不需要外部干预的情况下适应场景的动态。因此，我们的方法将同时显示出涌现和自组织的特性。我们将通过在一个设置中实现和部署具有100个节点的传感器网络，并在农业设置中进行测试，来演示该方法的适用性。该演示将展示如何在全球范围内最大限度地减少和平衡用于协作传输的能源。