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

物联网(IoT)一词被创造出来，用来描述未来物联网时代。物联网的一个重要功能是机器对机器(M2M)通信。我的研究探索了与物联网相关的两个领域，即：能够支持物联网传感器网络中动态服务管理和自主行为的策略系统模型，以及为与物联网互操作的异类移动传感器网络改进和开发传感器网络收集器协议。这项研究产生的技术很重要，因为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，而策略是指定行为、管理访问和启用联网设备中的自主行为的众所周知的方法，但需要调整以适应M2M通信的异构性、分布式和嵌入式性质。通过利用本研究中开发的“云”和传感器设备的策略接口描述语言和策略分发算法，设备功能和管理将得到简化。其结果将是更简单、更可靠的M2M通信管理。但这些传感设备中的许多都将是移动的，因此需要为物联网开发有效的传感器收集协议。移动网络非常具有挑战性，需要大量开销来维护网络拓扑。该提案中开发的技术将减少维护网络的开销，从而提高数据接收率。该技术可应用于野外游戏、汽车网络、军事编队和动物放牧等大型野战多跳移动传感器网络。关于全球M2M通信市场，到2018年底，预计年收入将接近1360亿美元。罗杰斯预计，加拿大的M2M收入每年将增长50%，到2015年将达到7亿至8亿美元。几乎所有主要的电信和IT公司都在这一领域进行了投资，期望感官数据将主导我们未来的生活。M2M通信将改变我们的行为，因为来自连接的传感器的信息将可以在日常基础上预测和帮助我们。

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.