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Mobile devices are increasingly used for information sharing. The sensors embedded inside these devices are generating a range of information about their location, surrounding environment and user activities. This information can be shared with others in real-time so that it can be used or analysed instantaneously. The popularity of participatory sensing involving humans and mobile devices(phones, PDAs, tablets etc) has also fuelled the growth of large scale data management. Although the typical network bandwidth available in mobile devices has been improving it remains limited with the rise in communication activity. Therefore, data could be optimised on the device to make it more suitable for the available network bandwidth. A scalable real-time data sharing system can be built by using existing message formats, messaging architectures and compression techniques. We will look at the bandwidth limitation and scalability issue with special focus on the impact of message compression in such networks.

XML has become a standard widely used in wireless networking technologies to improve flexibility and interoperability between heterogeneous applications. However, applying this technology to areas such as network management across a wireless embedded internet can pose significant challenges due to the verbosity of XML. A number of compression techniques and tools have been applied to this problem to help transform highly-structured data into a more compact form. Despite this choice, there is a lack of support for tools which are optimised for embedded computing. In this paper we will show the performance trade-offs that exist when compression is applied using different techniques. Furthermore, we will describe a tool which has been specially designed to be used within the domain of network management within a constrained environment.

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In this paper we will present technology designed to detect seismic events using pervasive computing. The project is focused on using low-cost open hardware in developing countries to provide an alternative more sustainable solution to the costly infrastructure used in countries such as Japan. The work involves building a network of embedded computing devices capable of forming a broadcast group across a range of different networking technologies including emerging 802.15.4-based networks. Software is been developed capable of detecting patterns of network activity which will act as an early identifier of significant seismic events across our network.