No abstract

decentralized communications quickly and using common devices like mobile phones. Broadcasting is the main mechanism used to disseminate information in all-to-all fashion in ad hoc networks. The objective of this paper is to optimize a broadcasting scheme based on similarity/dissimilarity coefficient designed for disaster response scenarios through a multi-objective optimization problem in which several performance metrics such as reachability, number of retransmissions and delay are optimized simultaneously.

Much work is underway within the broad next generation technologies community on issues associated with the development of services to foster collaboration via the integration of distributed and heterogeneous data systems and technologies. Various technology-driven paradigms have emerged, including Web Services, Web 2.0, Pervasive, Grids and Cloud Computing. Recently, some new paradigms have emerged, including Situated Computing and Crowd Sourcing. In this exploratory paper, we aim to be visionary, thus, we offer an overview highlighting relationships between these paradigms; the goal is to present how these fit into the broader picture of IT. More specifically, to discuss how these could help coin and prompt future direction of their usage (integration) in various real-world scenarios. A disaster management scenario is presented to illustrate the big picture's model architecture, as well as briefly discuss the potential impact resulting from the collective computational intelligence approach.

Detection of faulty nodes and network energy saving have become the hottest research topics. Furthermore, current fault detection algorithms always pursue high detection performance but neglect energy consumption. In order to obtain good fault detection performance and save the network power, this paper proposes a low energy consumption distributed fault detection algorithm (LEDFD), which takes full advantage of temporally correlated and spatially correlated characteristics of the sensor nodes. LEDFD utilizes the temporally correlated information to examine some faulty nodes and then utilizes the spatially correlated information to examine the nodes that have not been detected as faulty through exchanging information among neighbor nodes to determine those nodes' state. Because LEDFD takes the data produced by nodes themselves to detect certain types of faults, which means nodes need not exchange information with their neighbor nodes during the entire detection process, the energy consumption of networks is efficiently reduced. Experimental results show that the algorithm has good performance and low energy consumption compared with current algorithms.

This paper discusses usability and practicality issues for authentication systems based on biometrics.The effectiveness of a system incorporating an authentication method depends not only on theoretical and technological issues, but also on user interaction with and practical implementation of the system by an organisation. It is becoming increasingly common that IT and physical security are converging, especially in the workplace. This has significant ramifications for the workforce and operational matters. In this paper we pay particular attention to the potential issues that arise when companies introduce biometrics for IT or physical security and provide recommendations that help ensure a usable and practical implementation of the technology.