137e2892-14fd-4865-a661-67b5814979fe20260429143357Depositor Namedepositor_email@address.comRUA Metadata ExporterKumbesanSandrasegaranOur scholarly peer reviewed workshop papers publish the latest, high quality research work from UTS researchers. They cover all aspects of communication, computing and ICT. Our editorial boards and reviewers are from researchers and experts in these fields.Our scholarly peer reviewed workshop papers publish the latest, high quality research work from UTS researchers. They cover all aspects of communication, computing and ICT. Our editorial boards and reviewers are from researchers and experts in these fields.01012013UTS ePRESSSydneyhttp://creativecommons.org/licenses/by/4.0/10.5130/aaahttps://utsepress.lib.uts.edu.au/books/e/10.5130/aaahttps://utsepress.lib.uts.edu.au/books/7/files/fa92f5ec-acac-41c3-a39f-83051863a10d.pdfhttps://utsepress.lib.uts.edu.au/books/7/files/fa92f5ec-acac-41c3-a39f-83051863a10d.pdfShahrzadAslanzadehUniversity of Technology, Sydneyhttps://ror.org/03f0f6041School of Computing and CommunicationZenonChaczkoUniversity of Technology, Sydneyhttps://ror.org/03f0f6041School of Computing and CommunicationIn business world, competitors use innovative approaches to improve their performance and profits. Cloud computing is one of these innovative approaches that have allowed many companies to further take advantage of their potential. Cloud computing is assisting companies to execute their business plans more efficiently, thus providing them with an advantage over their competitors.Despite the benefits that cloud could offer, various challenges exist in this field. Load balancing and cloud performance are two examples of such challenges. This paper aims to discuss some of these challenges and how biomimetic algorithm could be employed to address them. Our approach is inspired by load regulation occurring in nature; more precisely, in human body.0101201310.5130/aaa.ahttps://utsepress.lib.uts.edu.au/chapters/e/10.5130/aaa.ahttps://utsepress.lib.uts.edu.au/books/7/files/09888513-920b-494d-8882-c9cc51f041f2.pdfSamanehMovassaghiUniversity of Technology, Sydneyhttps://ror.org/03f0f6041School of Computing and CommunicationMehranAbolhasanUniversity of Technology, Sydneyhttps://ror.org/03f0f6041School of Computing and CommunicationDavidSmithNational ICT Australia (NICTA)Wireless Body Area Networks (WBANs) are an exciting new networking technology developed in the recent years with advancements in wireless communication, integrated circuits and Micro-Electro- Mechanical Systems (MEMs). They consist of a number of sensor nodes that are placed in or around the human body. However, their practical deployment requires addressing numerous challenges. WBANs face many stringent requirements in power, bandwidth, and network lifetime which need to be taken into serious consideration in the design of different protocols. In this paper, we investigate the importance of interference mitigation amongst coexisting Wireless Body Area Networks (WBANs). Since, a WBAN is most likely to encounter other WBANs, inter-WBAN interference and scheduling is of utmost importance.0101201310.5130/aaa.bhttps://utsepress.lib.uts.edu.au/chapters/e/10.5130/aaa.bhttps://utsepress.lib.uts.edu.au/books/7/files/072ed1ff-bfaf-4fbc-a372-60632319a06a.pdfA.DaeinabiUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyK.SandrasegaranUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyIn heterogeneous network, the interference situations may be changed in different locations because of nodes with different powers as well as traffic loads. The Inter-Cell Interference (ICI) problem can occur for both data and control channels. To mitigate ICI problem, enhanced Inter-Cell Interference Coordination (eICIC) techniques are proposed in the Long Term Evolution-Advanced (LTE-A) networks particularly picocells. Moreover, the coverage areas of picocell are usually narrow because of difference between transmission power of macro eNodeB (eNB) and pico eNB. Therefore, traffic load is distributed unequally which can lead to macrocells overloading. To address the coverage problems resulted by nodes with different powers, Cell Range expansion (CRE) technique has been recently proposed. In this paper, the CRE approach is combined with eICIC-time domain scheme to improve system performance using features of both two techniques.0101201310.5130/aaa.chttps://utsepress.lib.uts.edu.au/chapters/e/10.5130/aaa.chttps://utsepress.lib.uts.edu.au/books/7/files/4d304aff-3e98-4af9-bcfc-445d0c6243c0.pdfAliRafieiUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyMehranAbolhasanUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyDanielFranklinUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyStephenSmithMacquarie University, Sydneyhttps://ror.org/01sf06y89Faculty of Science, Department of ComputingCoverage holes as large scale en mass and correlated node failures in wireless sensor networks, not only disturb the normal operation and functionality of networks, but also may endanger network’s integrity. Recent trends to use relocation of currently deployed nodes have attracted attention especially where manual addition of nodes are neither feasible nor economical in many applications. The transition from centralized to distributed node relocation algorithm gradually paves away for applications in which nodes are deployed in harsh and hostile environments in absence of central supervision and control. Although, many different relocation algorithms have been devised to address their given applications’ challenges and requirements and they are efficient in reaching their design goals, they may not be similarly responsive to unpredicted and different circumstances may occur in the network. This paper, demonstrates one of such case, DSSA (Distributed Self-Spreading Algorithm) that is mainly applied for balancing node deployments and recovery of small coverage holes. It is shown here that DSSA is not able to fully recover large scale coverage holes even if all nodes participate in recovery process and relocate with sufficient number of iterations.0101201310.5130/aaa.dhttps://utsepress.lib.uts.edu.au/chapters/e/10.5130/aaa.dhttps://utsepress.lib.uts.edu.au/books/7/files/0c1e5ce5-4696-418c-9bbf-fd6bcef9ee2f.pdfCheng-ChungLinUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyKumbesanSandrasegaranUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyZhuliangXuUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyCoordinated Multiple (CoMP) Transmission and Reception technology is expected to enhance the Long Term Evolution – Advanced (LTE-A) system throughput and reduce the packet loss ratio (PLR) compared to the LTE system. However, this could lead to system capacity overload and saturated system throughput issues within a highly congested network. To address this situation, this paper describes three proposed CoMP handover algorithms for the LTE-A system. These algorithms take one or more decision criteria into consideration to increase system capacity. System performance of each proposed CoMP handover algorithm is evaluated and compared with open literature via computer simulation. Simulation results are provided with a handover parameters optimization and a discussion of the performance testing.0101201310.5130/aaa.ehttps://utsepress.lib.uts.edu.au/chapters/e/10.5130/aaa.ehttps://utsepress.lib.uts.edu.au/books/7/files/105d0871-aec4-49c2-b675-d4a2878dab3d.pdfZhuliangXuUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyKumbesanSandrasegaranUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyCheng-ChungLinUniversity of Technology, Sydneyhttps://ror.org/03f0f6041Faculty of Engineering and Information TechnologyWi-Fi Positioning System (WPS) is a localization technology based on WLAN infrastructure and used the signal strength to implement position determination. With the widely used of Wi-Fi integrated smartphone, WPS has been introduced to monitor pedestrian movement such as movement trend and pedestrian traffic load. The information of pedestrian in a a street can be used to improve the services provides to people, for instance, a better bus time schedule and more friendly pavement design. Although there are lots of paper relate to WPS, but very little works has been published to discuss the system deployment. This paper provides modelling and simulation of WPS deployment in a street environment using MATLAB simulation tool. The results of the simulation ca be used to optimizing WPS device deployment to achieve better system coverage and efficiency.0101201310.5130/aaa.fhttps://utsepress.lib.uts.edu.au/chapters/e/10.5130/aaa.fhttps://utsepress.lib.uts.edu.au/books/7/files/958eafae-e54f-47c8-9212-8424043aa4db.pdf