Accepted Papers

    Wanis Alfitouri Hasan, The Higher and Intermediate Institute of Comprehensive Professions, Bani Walid, Libya

    In this effort, we summarized most of the concepts related to localization systems for WSNs, as well as how to localize the nodes in these networks, which allows the localization of phenomena, By dividing the localization systems into three distinct components; distance /angle estimation, position computation, and localization algorithm. Besides providing a didactic viewpoint, we showed that these components can be seen as subareas of the localization problem that need to be analysed and studied separately.

  • New Methods of Routing for UAV Intranets
    Rohan de Silva , School of Engineering and Technology, CQUniversity Sydney Campus, 400 Kent Street, Sydney, Australia

    In its current form of design, an Unmanned Aerial Vehicle (UAV) is directly controlled by a Radio Controlled (RC) ground station or a smartphone and the videos streams and pictures are sent in the opposite direction to the ground station. Recently, researchers have shown interest in building networks of UAVs. Flying Ad Hoc Networks (FANETs) or Internet of Drones (IoD) are such networks. FANETs assume that the UAVs belong to many different users. However, in civilian UAV networks, all UAVs belong to the same organisation, making an intranet of Drones (DRANET). If the packet routing approaches designed for FANETs are used in these networks, the quality of video streams will suffer. As such, efficient packet routing approaches are required for DRANETs. In this paper, we introduce and discuss two new packet routing approaches for DRANETs and argue that they are more efficient and able to deliver better quality video.

    Nabil Giweli, Seyed Shahrestani, Hon Cheung, Western Sydney University, Sydney, Australia

    Cognitive Radio (CR) technology opens the door for the opportunistic use of the licensed spectrum to partially address the issues relevant to the limited availability of unlicensed frequencies. Combining CR and Wi-Fi to form the so called White-Fi networks, has been proposed for achieving higher spectrum utilization. This paper discusses the spectrum sensing in White-Fi networks and the impacts that they have on the QoS of typical applications. It also reports the analysis of such impacts through various simulation studies. We also propose such a sensing strategy that can adapt to the IEEE 802.11e requirements. The proposed strategy aims to enhance overall QoS while maintaining efficient sensing. Simulation results of the proposed mechanism demonstrate a noticeable improvement in QoS.