NS2 IEEE Projects 2014 call at 9382207007
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The document proposes a Dynamic Optimal Random Access (DORA) algorithm to optimize vehicle-to-roadside (V2R) communications. It formulates the problem of finding the optimal transmission policy with a single access point as a finite-horizon sequential decision problem and solves it using dynamic programming. It then considers the problem with multiple access points and proposes a joint DORA algorithm. The proposed algorithm achieves the minimal total cost, highest probability of completing file uploads, and highest upload ratio compared to other heuristic schemes.
NS2 IEEE Projects 2014 call at 9382207007
- 1. DORA: Dynamic Optimal Random Access Vehicle-to-Roadside Communications ABSTRACT In this project, we use random access in a drive thru scenario, where roadside access points (APs) are installed on a highway to provide permanent Internet access for vehicles.We consider vehicle-to- roadside (V2R) communications for a vehicle that aims to upload a file when it is within the APs’ coverage ranges, where both the channel contention level and transmission data rate vary over time. The vehicle will pay a fixed amount reach time it tries to access the APs, and will incur a penalty if it cannot finish the file uploading when leaving the APs. First, we consider the problem of finding the optimal transmissionpolicy with a single AP and random vehicular traffic arrivals. We formulate it as a finite-horizon sequential decision problem, solve it using dynamic programming (DP), and design a general jointdynamicoptimalrandomaccess(JDORA) algorithm.We derive the conditions under which the optimal transmission policy has a threshold structure, and propose a monotone DORA algorithm witha lowercomputational complexity for this special case. Next, we consider the problem of finding the optimal transmissionpolicy with multiple APs and deterministic vehicular traffic arrivals thanks to perfecttrafficestimation.We againobtainthe optimal transmissionpolicyusing DP and propose a joint DORA algorithm.. Existing System A numberof previousresultshave beenreportedonthe resource allocation in V2R communications. In considered the case where roadside APs only store the data uploaded by the vehicles. Scheduling priority is determined by two factors: data size and deadline. A request with a smaller data size or an earlierdeadline will be servedfirst.Hadalleretal.inproposedaschedulingprotocol thatgrants channel access to a vehicle with the maximum transmission rate. Analytical and simulation results showed significant overall system throughput improvement over a benchmark scheme.
- 2. ARCHITECTUREOF EXISTING SYSTEM Disadvantage of Exiting System Lessuploadingratio Hightotal cost Highthresholdnodesoccur Proposed System We proposedanoptimal randomaccessalgorithmbasedonthe analysisof finite-horizondynamic programming.ourscheme achievesthe minimal total cost,the highestprobabilityof completingfile upload,andthe highestuploadratiocomparingwithtwootherheuristicschemes. Advantage: Highuploadratio Lesstotal cost Lessthresholdnode occur
- 3. ProposedSystemArchitecture Software Requirements C,C++ compilerforLinux TCL Compiler NS 2.34 Linux OS Hardware Requirements Hard Disk: 20GB and Above RAM: 512 MB and Above Processor: PentiumIV andAbove