Using Traffic Diversities for Scheduling Wireless Interfaces for Energy Harvesting in Wireless Devices

Abstract

The data traffic in many cases is specifying the expectations and the encouragement of new Mobile services/M-services (Location-based etc) and embosoms, through the user-centered awareness, to expose an innovative range of on-the-move applications. As today two distinct domains exist, the wireless world and the Internet world where, both can be met over a traffic-oriented framework providing reliable end-to-end users' connectivity and exchange of resources. The need to allocate and balance resources among different traffic classes to accomplish the best usage of network resources while maintaining the topology and the wireless connectivity of the users is today even more timely. The user's movements affect the type of connectivity, thus aggravating the degree of cooperation among users and degrading the reliability of communication. Traffic diversities are being considered in this chapter taking into consideration the traffic impact on the energy conservation of the nodes that are changing their location according to certain pattern as well as the consideration of the traffic as a feedback mechanism to prolong network's lifetime and nodes lifetime and communication duration extensibility. The chapter covers the primary traffic techniques and methodologies in order to show the direct dependencies between traffic and wireless interfaces' scheduling mechanisms as well as exposing the power-related parameters during the resource exchange process in order to enable the wireless communicating nodes to efficiently utilize their energy resources. Different variations of the proposed schemes are presented where the energy benefit is specified. The performance evaluations through conducted experiments were performed in real-time, through wireless sensor nodes, and through simulation presenting the effectiveness of the framework which efficiently maximizes the reliability of the resource exchange process of the nodes, while it minimizes the energy consumption and prolongs the system's lifetime.