Supporting Autonomic Behaviour in Mobile Wireless Sensor Networks for the Internet of Things

支持物联网移动无线传感器网络的自主行为

• 批准号: DDG-2015-00006
• 负责人: Liscano, Ramiro
• 金额: $ 0.73万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Development Grant
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612411
• 关键词: Supporting; Autonomic; Behaviour; Mobile; Wireless

The term Internet of Things (IoT) has been coined to describe the future era of interconnected objects to the Internet. A significant feature of the IoT is Machine-to-Machine (M2M) communications. My research explores two areas related to the IoT, these are: policy system models that are able to support dynamic service management and autonomic behaviour in sensor networks in the IoT and improving and developing sensor network collector protocols for heterogeneous mobile sensor networks that inter-operate with the IoT.    The technology resulting from this research is important because all machines and devices connected in the IoT will require some form of manual or autonomic management and policies are a well-known approach for specifying behaviours, managing access, and enabling autonomic behaviour in networked devices but will need to be adapted for the heterogeneous, distributed, and embedded nature of M2M communications. Device capabilities and management will be simplified by leveraging the Policy Interface Description Language and policy distribution algorithms for the “Cloud” and sensor devices developed in this research. The result will be a simpler and more reliable management of M2M communications.    Many of these sensory devices will be mobile, so effective sensor collecting protocols need to be developed for the IoT. Mobile networks are very challenging requiring significant overhead to maintain the network topology. The technology developed in this proposal will reduce the overhead of maintaining the network and hence increase the data reception rate. The technology can be applied to large field multi-hop mobile sensor networks like field games, automotive networks, military platooning, and animal grazing.    Concerning the global market for M2M communications it is expected to be nearly $136 billion in annual revenues by the end of 2018. Rogers expects to see for Canada a 50 per cent growth in its M2M revenue per year and reach $700 to $800 million in annual revenue by 2015. Nearly all major telecom and IT companies have invested into this area with the expectation that sensory data will dominate our lives in the future. M2M communications will change our behaviour because information from connected sensors will be available to anticipate and help us on a day-to-day basis.

物联网（IoT）一词的创造是为了描述Internet互连对象的未来时代。物联网的一个重要特征是机器对机器（M2M）通信。我的研究探讨了与物联网相关的两个领域：这些领域是：能够支持物联网中传感器网络中的动态服务管理和自主行为，并改善和开发与物联网互操作的异构移动传感器网络的传感器网络收集器协议。这项研究产生的技术很重要，因为在物联网中连接的所有机器和设备都需要某种形式的手动或自主管理，而政策是一种众所周知的方法，用于指定行为，管理访问并启用网络设备中的自主行为，但需要适应多种多样的，分布式，分布式，分布式，分布式，和Embsedded的频率。通过利用策略接口说明“云”和本研究中开发的传感器设备的语言和策略分布算法，将简化设备功能和管理。结果将是对M2M通信的更简单，更可靠的管理。这些感觉设备中的许多将是移动的，因此需要为IoT开发有效的传感器收集协议。移动网络非常挑战，需要大量的开销来维护网络拓扑。该提案中开发的技术将减少维持网络的开销，从而提高数据接收率。该技术可以应用于大型现场多跳移动传感器网络，例如现场游戏，汽车网络，军事排列和动物放牧。关于全球沟通的全球市场，预计到2018年底，年度揭晓将近1360亿美元。罗杰斯预计，加拿大的每年收入将增长50％，到2015年，每年的收入达到700至8亿美元，到2015年的年收入达到了700至8亿美元。几乎所有的主要电信公司和伊特公司都投资了这一领域，这些领域已经投入了这种感觉数据的生活。 M2M通信将改变我们的行为，因为来自连接传感器的信息将可以预测和帮助我们每天帮助我们。