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Search Results: 1 - 10 of 36 matches for " Arjuna Sathiaseelan "
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TCP-R with EPDN: Handling out of Order Packets in Error Prone Satellite Networks  [PDF]
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.27078
Abstract: Studies have shown that packet reordering is common, especially in satellite networks where there are link level retransmissions and multipath routing. Moreover, traditional satellite networks exhibit high corruption rates causing packet losses. Reordering and corruption of packets decrease the TCP performance of a network, mainly because it leads to overestimation of the congestion in the network. We consider satellite networks and analyze the performance of such networks when reordering and corruption of packets occurs. We propose a solution that could significantly improve the performance of the network when reordering and corruption of packets occur in a satellite network. We report results of our simulation experiments, which support this claim.
Analysing TCP for Bursty Traffic  [PDF]
Israfil Biswas, Arjuna Sathiaseelan, Raffaello Secchi, Gorry Fairhurst
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2010, DOI: 10.4236/ijcns.2010.37078
Abstract: The Transmission Control Protocol has been designed to support interactive and bulk applications, with performance tuned to support bulk applications that desire to continuously send data. In contrast, this paper analyses TCP performance for a class of applications that do not wish to send continuous data, but instead generate bursts of data separated by application-limited periods in which little or no data is sent. In this context, the paper evaluates an experimental method, Congestion Window Validation (CWV), proposed to mitigate the network impact of bursty TCP applications. Simulation results show that TCP-CWV exhibits a conservative behaviour during application-limited periods. The results also show that TCP-CWV is able to use the available capacity after an idle period over a shared path and that this can have benefit, especially over long delay paths, when compared to slow-start restart specified by standard TCP. The paper recommends the development of CWV-like algorithms to improve the performance for bursty applications while also providing an incentive for application designers to use congestion control.
The Role of Location Based Technologies in Intelligent Transportation Systems
Nagendra R. Velaga,Arjuna Sathiaseelan
Asian Journal of Information Technology , 2012, DOI: 10.3923/ajit.2011.227.233
Abstract: Information Technology (IT) has played a significant role in enhancing the efficiency of modern day transportation systems. Recent advances in sensors, communication and information systems have enabled transportation systems to be more intelligent. Various location technologies and data integration methods (also known as map-matching algorithms) are used to support the navigation modules of such transport systems. This study provides a survey of location based technologies that encompass an Intelligent Transportation System (ITS) and provides an insight into the Required Navigation Performance (RNP) parameters that are required for decision-making in efficient delivery of transport systems. The reseachers also describe how various location sensors and map-matching algorithms are capable of supporting the navigation modules of ITS.
Does the Internet deserve everybody?
Yehia Elkhatib,Gareth Tyson,Arjuna Sathiaseelan
Computer Science , 2015, DOI: 10.1145/2793013.2793018
Abstract: There has been a long standing tradition amongst developed nations of influencing, both directly and indirectly, the activities of developing economies. Behind this is one of a range of aims: building/improving living standards, bettering the social status of recipient communities, etc. In some cases, this has resulted in prosperous relations, yet often this has been seen as the exploitation of a power position or a veneer for other activities (e.g. to tap into new emerging markets). In this paper, we explore whether initiatives to improve Internet connectivity in developing regions are always ethical. We draw a list of issues that would aid in formulating Internet initiatives that are ethical, effective, and sustainable.
Fair Collaborative In-Network Caching Game and Its Cost Analysis on General Network Topologies
Liang Wang,Gareth Tyson,Arjuna Sathiaseelan,Jon Crowcroft,Jussi Kangasharju
Computer Science , 2014,
Abstract: Information-centric networking extensively uses universal in-network caching. However, developing an efficient and fair collaborative caching algorithm for selfish caches is still an open question. In addition, the communication overhead induced by collaboration is especially poorly understood in a general network setting such as realistic ISP and Autonomous System networks. In this paper, we address these two problems by modeling the in-network caching problem as a Nash bargaining game. We show that the game is a convex optimization problem and further derive the corresponding distributed algorithm. We analytically investigate the collaboration overhead on general graph topologies, and theoretically show that collaboration has to be constrained within a small neighborhood due to its cost growing exponentially. Our proposed algorithm achieves at least 16% performance gain over its competitors on different network topologies in the evaluation, and guarantees provable convergence, Pareto efficiency and proportional fairness.
Exploiting the power of multiplicity: a holistic survey of network-layer multipath
Junaid Qadir,Anwaar Ali,Kok-Lim Alvin Yau,Arjuna Sathiaseelan,Jon Crowcroft
Computer Science , 2015, DOI: 10.1109/COMST.2015.2453941
Abstract: The Internet is inherently a multipath network---for an underlying network with only a single path connecting various nodes would have been debilitatingly fragile. Unfortunately, traditional Internet technologies have been designed around the restrictive assumption of a single working path between a source and a destination. The lack of native multipath support constrains network performance even as the underlying network is richly connected and has redundant multiple paths. Computer networks can exploit the power of multiplicity to unlock the inherent redundancy of the Internet. This opens up a new vista of opportunities promising increased throughput (through concurrent usage of multiple paths) and increased reliability and fault-tolerance (through the use of multiple paths in backup/ redundant arrangements). There are many emerging trends in networking that signify that the Internet's future will be unmistakably multipath, including the use of multipath technology in datacenter computing; multi-interface, multi-channel, and multi-antenna trends in wireless; ubiquity of mobile devices that are multi-homed with heterogeneous access networks; and the development and standardization of multipath transport protocols such as MP-TCP. The aim of this paper is to provide a comprehensive survey of the literature on network-layer multipath solutions. We will present a detailed investigation of two important design issues, namely the control plane problem of how to compute and select the routes, and the data plane problem of how to split the flow on the computed paths. The main contribution of this paper is a systematic articulation of the main design issues in network-layer multipath routing along with a broad-ranging survey of the vast literature on network-layer multipathing. We also highlight open issues and identify directions for future work.
Renaming the NCDs
Aluwihare Arjuna
Bulletin of the World Health Organization , 2002,
Digital Architectures for UWB Beamforming Using 2D IIR Spatio-Temporal Frequency-Planar Filters
Soumya Kondapalli,Arjuna Madanayake,Len Bruton
International Journal of Antennas and Propagation , 2012, DOI: 10.1155/2012/234263
Abstract: A design method and an FPGA-based prototype implementation of massively parallel systolic-array VLSI architectures for 2nd-order and 3rd-order frequency-planar beam plane-wave filters are proposed. Frequency-planar beamforming enables highly-directional UWB RF beams at low computational complexity compared to digital phased-array feed techniques. The array factors of the proposed realizations are simulated and both high-directional selectivity and UWB performance are demonstrated. The proposed architectures operate using 2's complement finite precision digital arithmetic. The real-time throughput is maximized using look-ahead optimization applied locally to each processor in the proposed massively-parallel realization of the filter. From sensitivity theory, it is shown that 15 and 19-bit precision for filter coefficients results in better than 3% error for 2nd- and 3rd-order beam filters. Folding together with Ktimes multiplexing is applied to the proposed beam architectures such that throughput can be traded for K-fold lower complexity for realizing the 2-D fan filter banks. Prototype FPGA circuit implementations of these filters are proposed using a Virtex 6 xc6vsx475t-2ff1759 device. The FPGA-prototyped architectures are evaluated using area (A), critical path delay (T), and metrics AT and AT 2. The L2 error energy is used as a metric for evaluating fixed-point noise levels and the accuracy of the finite precision digital arithmetic circuits. 1. Introduction Radio-frequency (RF) two-dimensional (2D) infinite impulse response (IIR) space-time (ST) plane-wave frequency-planar beam filters [1] have potential applications in ultra-wideband (UWB) directional filtering of propagating electromagnetic far-field plane-waves. Such plane-wave filters achieve highly directional beamforming for aperture array applications. The proposed beam filters are designed using the concept of frequency-planar resonant 2D inductor-capacitor (LC) ladder network prototypes having resistive terminations [2]. For example, UWB beam filters can be employed in radar [3], wireless communications [4], radio astronomy [5], and electromagnetic imaging, and sensing [6]. Furthermore, new applications have been proposed in cognitive radio towards enhanced access to radio spectrum (EARS) [7] which requires sensitive spectrum sensing in both space and time domains [8], in turn leading to a strong need for low-complexity directional filters capable of real-time RF operation [9]. High attenuation in the stop-band region as well as a sharp transition from filter passband to stop-band is
Constructing a Distributed AUV Network for Underwater Plume-Tracking Operations
Stephanie Petillo,Henrik Schmidt,Arjuna Balasuriya
International Journal of Distributed Sensor Networks , 2012, DOI: 10.1155/2012/191235
Abstract: In recent years, there has been significant concern about the impacts of offshore oil spill plumes and harmful algal blooms on the coastal ocean environment and biology, as well as on the human populations adjacent to these coastal regions. Thus, it has become increasingly important to determine the 3D extent of these ocean features (“plumes”) and how they evolve over time. The ocean environment is largely inaccessible to sensing directly by humans, motivating the need for robots to intelligently sense the ocean for us. In this paper, we propose the use of an autonomous underwater vehicle (AUV) network to track and predict plume shape and motion, discussing solutions to the challenges of spatiotemporal data aliasing (coverage versus resolution), underwater communication, AUV autonomy, data fusion, and coordination of multiple AUVs. A plume simulation is also developed here as the first step toward implementing behaviors for autonomous, adaptive plume tracking with AUVs, modeling a plume as a sum of Fourier orders and examining the resulting errors. This is then extended to include plume forecasting based on time variations, and future improvements and implementation are discussed.
Autonomous Vehicles Navigation with Visual Target Tracking: Technical Approaches
Zhen Jia,Arjuna Balasuriya,Subhash Challa
Algorithms , 2008, DOI: 10.3390/a1020153
Abstract: This paper surveys the developments of last 10 years in the area of vision based target tracking for autonomous vehicles navigation. First, the motivations and applications of using vision based target tracking for autonomous vehicles navigation are presented in the introduction section. It can be concluded that it is very necessary to develop robust visual target tracking based navigation algorithms for the broad applications of autonomous vehicles. Then this paper reviews the recent techniques in three different categories: vision based target tracking for the applications of land, underwater and aerial vehicles navigation. Next, the increasing trends of using data fusion for visual target tracking based autonomous vehicles navigation are discussed. Through data fusion the tracking performance is improved and becomes more robust. Based on the review, the remaining research challenges are summarized and future research directions are investigated.
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