Abstract-Wireless technology is one of the revolutionary advancements providing users with ubiquitous data and telephony access anywhere and anytime without any physical connection. The nowadays deployed wireless networks named WiFi, Worldwide Interoperability for Microwave Access (WiMAX), Universal Mobile Telecommunications Systems (UMTS) and Long Term Evolution systems (LTE) have different characteristics that make them complementary in term of performance, coverage and cost. This network variety presents an opportunity to provide better services to the end-users given the advances in mobile terminals. To reach this goal, an appropriate automatic network selection (ANS) mechanism, able to always select the best access network, is needed. This consists on constantly monitoring any type of available access networks, automatically selecting and switching to the best one, as the network that maximizes the users quality of experience taking into account their preferences as well as the terminal and network conditions. ANS is a multi dimension decision-making problem which can be solved by finding an appropriate complex trade-off between possibly conflicting criteria. In this paper, we propose an analytical model to capture the preferences of end-users. Based on this model, we design an ANS mechanism that takes into account all aspects of the trade-off between the quality of the connections, the preferences of the end users and the cost. To highlight the benefits of our approach from the perspectives of both end-users and network operator, we have implemented and tested the solution in a multi technologies simulator. Results show that the proposed solution outperforms the main stream approaches.
Abstract-Channel variability and a high level of noise lead to a significant probability of packet loss in many underwater networks. Techniques based on packet-level Forward Error Correction (FEC), such as Reed Solomon (RS) codes, can be used to offer effective protection against excessive packet losses that would be generated by noise. In this paper, we propose a new error recovery scheme based on RS codes to be used in conjunction with multipath routing. We discuss several routing policies to take advantage of the inherent redundancy of multipath routing coupled with a suitable RS code. We evaluate the performance of these policies through simulation and compare them with the Multi-Sink Routing Protocol (MSRP). Results show that our policies outperform MSRP in terms of packet delivery ratio (PDR), and that our solution strikes a balance between the achieved PDR and the overhead introduced by packet replication.
Cloud Computing is an emerging commercial model which allows organizations to eliminate the need to maintain costly hardware, software and network infrastructures. It also permits to avoid the high operational cost for operating and maintaining these infrastructures. Similarly, in the eHealth area, emerging eHealth applications used in conjunction with wearable medical sensor devices and personal devices are being adopted by more and more people with the aim to improve their lifestyle and health. eHealth organizations, willing to provide remote eHealth management, are integrating Wireless Body Area Networks (WBANs) technology and Cloud Computing technology. This integration allows eHealth organizations to deploy their eHealth services on demand and instantly to monitor patients health status. We propose in this paper, a solution for such organizations to efficiently deploy their eHealth services and adapt provisioned physical resources dynamically to satisfy the quality of health of potentially millions of subscribers.
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