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

物联网（IoT）一词是用来描述互联对象到互联网的未来时代。物联网的一个重要特征是机器对机器（M2M）通信。我的研究探索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的动态服务管理和自主行为的策略系统模型，以及改进和开发与物联网互操作的异构移动的传感器网络的传感器网络收集器协议。 这项研究所产生的技术非常重要，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，并且策略是用于指定行为、管理访问和实现联网设备中的自主行为的众所周知的方法，但需要适应M2M通信的异构、分布式和嵌入式性质。设备功能和管理将被简化，利用策略接口描述语言和策略分发算法的“云”和传感器设备在这项研究中开发。结果将是M2M通信的更简单和更可靠的管理。 这些传感设备中的许多将是移动的，因此需要为物联网开发有效的传感器收集协议。移动的网络非常具有挑战性，需要显著的开销来维持网络拓扑。这项建议所发展的技术将减少维持网络的开支，从而提高数据接收率。该技术可应用于大型野外多跳移动的传感器网络，如野外游戏、汽车网络、军事编队和动物放牧。 关于M2M通信的全球市场，预计到2018年底，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，年收入将达到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，期望传感数据将在未来主导我们的生活。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用于预测和帮助我们的日常工作。

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.