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  • A PSO-Based Subtractive Data Clustering Algorithm
    for Applications Academic Press Inc New York 1973 Pavel Berkhin Survey of clustering data mining techniques Accrue Software Research Paper pp 25 71 2002 doi 10 1007 3 540 28349 8 2 A Carlisle G Dozier An Off The Shelf PSO In Proceedings of the Particle Swarm Optimization Workshop 2001 PP 1 6 Krzysztof J Cios Witold Pedrycz Roman W Swiniarski Data Mining Methods for Knowledge Discovery Kluwer Academic Publishers 1998 doi 10 1007 978 1 4615 5589 6 X Cui P Palathingal T E Potok Document Clustering using Particle Swarm Optimization IEEE Swarm Intelligence Symposium 2005 Pasadena California pp 185 191 doi 10 1109 SIS 2005 1501621 Eberhart R C Shi Y Comparing Inertia Weights and Constriction Factors in Particle Swarm Optimization Congress on Evolutionary Computing vol 1 2000 pp 84 88 doi 10 1109 CEC 2000 870279 Everitt B Cluster Analysis 2nd Edition Halsted Press New York 1980 A K Jain M N Murty P J Flynn Data Clustering A Review ACM ComputingSurvey Vol 31 No 3 pp 264 323 1999 doi 10 1145 331499 331504 J A Hartigan Clustering Algorithms John Wiley and Sons Inc New York 1975 Eberhart RC Shi Y Kennedy J Swarm Intelligence Morgan Kaufmann New York 2001 Mahamed G Omran Ayed Salman Andries P Engelbrecht Image classification using particle swarm optimization Proceedings of the 4th Asia Pacific Conference on Simulated Evolution and Learning 2002 Singapore pp 370 374 doi 10 1142 9789812561794 0019 S L Chiu Fuzzy model identification based on cluster estimation Journal of Intelligent and Fuzzy Systems Vol 2 No 3 1994 Salton G and Buckley C Term weighting approaches in automatic text retrieval Information Processing and Management Vol 24 No 5 pp 513 523 1988 doi 10 1016 0306 4573 88 90021 0 Song Liangtu Zhang Xiaoming Web Text Feature Extraction with Particle Swarm Optimization IJCSNS International Journal of Computer Science and Network Security Vol 7 No 6 2007 Selim Shokri Z K means type algorithms A generalized convergence theorem and characterization of local optimality Pattern Analysis and Machine Intelligence IEEE Transactions Vol 6 No 1 pp 81 87 1984 doi 10 1109 TPAMI 1984 4767478 Yuhui Shi Russell C Eberhart Parameter Selection in Particle Swarm Optimization The 7th Annual Conference on Evolutionary Programming San Diego pp pp 591 600 1998 doi 10 1007 BFb0040810 Michael Steinbach George Karypis Vipin Kumar A Comparison of Document Clustering Techniques TextMining Workshop KDD 2000 Razan Alwee Siti Mariyam Firdaus Aziz K H Chey Haza Nuzly The Impact of Social Network Structure in Particle Swarm Optimization for Classification Problems International Journal of Soft Computing Vol 4 No 4 2009 pp 151 156 Van D M Engelbrecht A P Data clustering using particle swarm optimization Proceedings of IEEE Congress on Evolutionary Computation 2003 Canbella Australia pp 215 220 doi 10 1109 CEC 2003 1299577 Sherin M Youssef Mohamed Rizk Mohamed El Sherif Dynamically Adaptive Data Clustering Using Intelligent Swarm like Agents International Journal of Mathematics and Computer in simulation Vol 1 No 2 2007 Rehab

    Original URL path: http://www.ijorcs.org/manuscript/id/60/mariam-el-tarabily-rehab-abdel-kader-mahmoud-marie-gamal-abdel-azeem/a-pso-based-subtractive-data-clustering-algorithm (2016-05-01)
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  • An Enhanced Framework for Improving Spatio-Temporal Queries for Global Positioning Systems
    of moving objects and continuous updates on these queries In this paper we propose a framework that employs a new indexing algorithm that is built on top of SQL Server 2008 and avoid the overhead related to R Tree indexing To answer range queries we utilize dynamic materialized view concept to efficiently handle update queries We propose an adaptive safe region to reduce communication costs between the client and the server and to minimize position update load Caching of results was utilized to enhance the overall performance of the framework To handle concurrent spatio temporal queries we utilize publish subscribe paradigm to group similar queries and efficiently process these requests Experiments show that the overall proposed framework performance was able to outperform R Tree index and produce promising and satisfactory results References Cited By Mohamed F Mokbel Xiaopeng Xiong Moustafa A Hammad Walid G Aref Continuous Query Processing of Spatio temporal Data Streams in PLACE Geoinformatica V 9 pp 343 365 2005 doi 10 1007 s10707 005 4576 7 Z W Yuan M Cheng H S Kim H Y Bae and J W Ge Querying Spatial temporal Data in Location Based Services 2005 Mohamed F Mokbel Continuous Query Processing in Spatio temporal Databases Springerlink p 364 367 2005 doi 10 1007 978 3 540 30192 9 10 Mohamed F Mokbel Walid G Aref Susanne E Hambrusch Sunil Prabhakar Towards Scalable Locationaware Services Requirements and Research Issues GIS 03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems pp 110 117 2003 doi 10 1145 956676 956691 D Stojanov and S Dordevic Kajan Modeling and Querying Mobile Objects in Location based Services FACTA UNIVERSITATIS NI S Ser Math Inform 18 2003 59 80 Comarch technology Technology Review Comarch no 2 Poland 2009 M Koubaraki Y Theodoridis and T Sellis Spatio temporal Databases in the Years Ahead Spatio Temporal Databases Lecture Notes in Computer Science Volume 2520 pp 345 347 2003 doi 10 1007 978 3 540 45081 8 9 Jun Zhang Manli Zhu Dimitris Papadias Yufei Tao Dik Lun Lee Location based Spatial Queries In Proceedings of the 2003 ACM SIGMOD international conference on Management of data SIGMOD 03 ACM pp 443 454 2003 doi 10 1145 872757 872812 Blur Marketing 2011 October http blur marketing com blog trends and statistics in location based services Baihua Zheng Dik Lun Lee Semantic Caching in Location Dependent Query Processing Springer Advances in Spatial and Temporal Databases 97 113 2001 doi 10 1007 3 540 47724 1 6 Dik Lun Lee Manli Zhu Haibo Hu When Location Based Services Meet Databases ACM Mobile Information Systems vol 1 issue 2 pp 81 90 2005 Z Yuan M Cheng H Kim H Bae and J Ge Querying Spatial temporal Data in Location Based Services 2005 Mohamed F Mokbel Xiaopeing Xiong Walid G Aref SINA Scalable Incremental Processing of Continuous Queries in Spatio temporal Databases In Proceedings of the 2004 ACM SIGMOD international conference on Management of data SIGMOD 04 ACM pp 623

    Original URL path: http://www.ijorcs.org/manuscript/id/61/ishraq-al-fataftah-jalal-atoum/an-enhanced-framework-for-improving-spatio-temporal-queries-for-global-positioning-systems (2016-05-01)
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  • The Design of Cognitive Social Simulation Framework using Statistical Methodology in the Domain of Academic Science
    for such cognitive system with large state space the problem like large tables and data sparsity are faced Hence in this paper we have proposed a method using a value iterative approach based on Q learning algorithm with function approximation technique to handle the cognitive systems with large state space From the experimental results in the application domain of academic science it has been verified that the proposed approach has better performance compared to its existing approaches References Cited By Newell The Knowledge level Artificial Intelligence 18 87 127 1982 doi 10 1016 0004 3702 82 90012 1 A M Nuxoll and J E Laird Extending cognitive architecture with episodic memory Proceedings of the Twenty Second AAAI Conference on Artificial Intelligence Vancouver BC AAAI Press 2007 I Naveh and R Sun A cognitively based simulation of academic science Computational and Mathematical Organization Theory 12 4 313 337 2006 doi 10 1007 s10588 006 8872 z J E Larid Extending the Soar cognitive architecture Proceedings of the Artificial General Intelligence Conference Memphis TN IOS Press 2008 J E Larid A Newell and P S Rosenbloom Soar An architecture for general intelligence Artificial Intelligence 33 1 64 1987 doi 10 1016 0004 3702 87 90050 6 J G Carbonell C A Knoblock and S Minton PRODIGY An integrated architecture for planning and learning In K Van Lehn Ed Architectures for intelligence Hillsdale NJ Lawrence Erlbaum 1990 J R Anderson How can the human mind exist in the physical universe New York Oxford University Press 2007 J R Anderson and C Lebiere The atomic components of thought Mahwah NJ Lawrence Erlbaum 1998 K Carley M Prietula and Z Lin Design versus cognition The interaction of agent cognition and organizational design on organizational performance Journal of Artificial Societies and Social Simulation 1 3 1998 K Haigh and M Veloso Interleaving planning and robot execution for asynchronous user requests Proceedings of the International Conference on Intelligent Robots and Systems Osaka Japan IEEE Press 148 155 1996 doi 10 1109 IROS 1996 570649 M Velso and J G Carbonell Derivational analogy in PRODIGY Automating case acquisition storage and utilization Machine Learning 10 249 278 1993 doi dx doi org 10 1007 978 1 4615 3228 6 3 M A Perez and J G Carbonell Control knowledge to improve plan quality Proceedings of the Second International Conference on AI Planning Systems Chicago AAAI Press 323 328 1994 N Gilbert A simulation of the structure of academic science Sociological Research Online 2 2 Available online at http ww socresonline org uk socresonline 2 2 3 html 1997 P Langley K Cummings K and D Shapiro Hierarchical skills and cognitive architectures Proceedings of the Twenty Sixth Annual Conference of the Cognitive Science Society 779 784 Chicago IL 2004 R Sun A Tutorial on CLARION 5 0 tech report Cognitive Science Dept rensselaer Polytechnic Inst 22 www cogsci rpi edu rsun sun tutorial pdf July 2003 R Sun Duality of the Mind Mahwah NJ Lawrence Erlbanm Associates 2002 R Sun

    Original URL path: http://www.ijorcs.org/manuscript/id/62/v-maniraj-r-sivakumar/the-design-of-cognitive-social-simulation-framework-using-statistical-methodology-in-the-domain-of-academic-science (2016-05-01)
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  • Improving the Efficiency of Spectral Subtraction Method by combining it with Wavelet Thresholding Technique
    Singh and Satish Kumar Improving the Efficiency of Spectral Subtraction Method by combining it with Wavelet Thresholding Technique International Journal of Research in Computer Science 3 3 2013 29 33 Web 1 May 2016 Mishra G R Saurabh Kumar Mishra Akanksha Trivedi O P Singh and Satish Kumar Improving the Efficiency of Spectral Subtraction Method by combining it with Wavelet Thresholding Technique International Journal of Research in Computer Science 3 no 3 2013 29 33 doi 10 7815 ijorcs 33 2013 065 Close Abstract In the field of speech signal processing Spectral subtraction method SSM has been successfully implemented to suppress the noise that is added acoustically SSM does reduce the noise at satisfactory level but musical noise is a major drawback of this method To implement spectral subtraction method transformation of speech signal from time domain to frequency domain is required On the other hand Wavelet transform displays another aspect of speech signal In this paper we have applied a new approach in which SSM is cascaded with wavelet thresholding technique WTT for improving the quality of speech signal by removing the problem of musical noise to a great extent Results of this proposed system have been simulated on MATLAB References Cited By S F Boll Suppression of acoustic noise in speech using spectral subtraction IEEE Acoustic Speech Signal Processing vol ASSP 27 pp 113 120 Apr 1979 doi 10 1109 TASSP 1979 1163209 Ing Yann Soon Soo Ngee Koh Cii Kiat Yeo Wavelet For Speech De noising 1997 IEEE Tencon Speech and Image Technologies for Computing and Telecommunications Soltani Bozchalooi Ming Liang A Combined Spectral Subtraction and Wavelet De Noising Method for Bearing Fault Diagnosis IEEE Amercian Control Conference pp 2533 2538 2007 doi 10 1109 ACC 2007 4282467 Talbi Mourad Cherif Adnene Simulation and comparison of noise cancellation technique in speech processing IEEE Electrotechnical Conference pp 541 544 2006 doi 10 1109 MELCON 2006 1653158 Wilfred N Mwema and Elijah Mwangi A Spectral Subtraction Method for Noise Reduction in Speech Signals IEEE AFRICON 4th pp 382 385 1996 doi 10 1109 AFRCON 1996 563142 Saeed V Vaseghi Advanced Digital Signal Processing and Noise Reduction Second Edition John Wiley Sons Ltd ISBNs 0 471 62692 9 Hardback 0 470 84162 1 Electronic doi 10 1002 0470841621 Nikhil Rao Speech Compression Using Wavelets ELEC 4801 Thesis Project School of Information Technology and Electrical Engineering Qld 4108 October 18 2001 WANG Guang yan ZHAO Xiao qun WANG Xia Musical Noise Reduction Based on Spectral Subtraction Combined with Wiener Filtering for Speech Communication IET International Communication Conference on Wireless Mobile and Computing pp 726 729 2009 Satish Kumar O P Singh G R Mishra Saurabh Kumar Mishra Akanksha Trivedi Speech Compression and Enhancement using WaveletCoders International Journal of Electronics Communication and Computer Engineering Volume 3 Issue 6 ISSN Online 2249 071X ISSN Print 2278 4209 James R Hamilton Musical Noise British Journal of Aesthetics Vol 39 No 4 October lag pp 350 363 doi 10 1093 bjaesthetics 39 4 350 Ben

    Original URL path: http://www.ijorcs.org/manuscript/id/65/g-r-mishra-saurabh-kumar-mishra-akanksha-trivedi-op-singh-satish-kumar/improving-the-efficiency-of-spectral-subtraction-method-by-combining-it-with-wavelet-thresholding-technique (2016-05-01)
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  • A Study of Routing Techniques in Intermittently Connected MANETs
    Techniques in Intermittently Connected MANETs International Journal of Research in Computer Science 3 no 3 2013 35 43 doi 10 7815 ijorcs 33 2013 066 Close Abstract A Mobile Ad hoc Network MANET is a self configuring infrastructure less network of mobile devices connected by wireless These are a kind of wireless Ad hoc Networks that usually has a routable networking environment on top of a Link Layer Ad hoc Network The routing approach in MANET includes mainly three categories viz Reactive Protocols Proactive Protocols and Hybrid Protocols These traditional routing schemes are not pertinent to the so called Intermittently Connected Mobile Ad hoc Network ICMANET ICMANET is a form of Delay Tolerant Network where there never exists a complete end to end path between two nodes wishing to communicate The intermittent connectivity araise when network is sparse or highly mobile Routing in such a spasmodic environment is arduous In this paper we put forward the indication of prevailing routing approaches for ICMANET with their benefits and detriments References Cited By S F Boll Suppression of acoustic noise in speech using spectral subtraction IEEE Acoustic Speech Signal Processing vol ASSP 27 pp 113 120 Apr 1979 doi 10 1109 TASSP 1979 1163209 Ing Yann Soon Soo Ngee Koh Cii Kiat Yeo Wavelet For Speech De noising 1997 IEEE Tencon Speech and Image Technologies for Computing and Telecommunications Soltani Bozchalooi Ming Liang A Combined Spectral Subtraction and Wavelet De Noising Method for Bearing Fault Diagnosis IEEE Amercian Control Conference pp 2533 2538 2007 doi 10 1109 ACC 2007 4282467 Talbi Mourad Cherif Adnene Simulation and comparison of noise cancellation technique in speech processing IEEE Electrotechnical Conference pp 541 544 2006 doi 10 1109 MELCON 2006 1653158 Wilfred N Mwema and Elijah Mwangi A Spectral Subtraction Method for Noise Reduction in Speech Signals IEEE AFRICON 4th pp 382 385 1996 doi 10 1109 AFRCON 1996 563142 Saeed V Vaseghi Advanced Digital Signal Processing and Noise Reduction Second Edition John Wiley Sons Ltd ISBNs 0 471 62692 9 Hardback 0 470 84162 1 Electronic doi 10 1002 0470841621 Nikhil Rao Speech Compression Using Wavelets ELEC 4801 Thesis Project School of Information Technology and Electrical Engineering Qld 4108 October 18 2001 WANG Guang yan ZHAO Xiao qun WANG Xia Musical Noise Reduction Based on Spectral Subtraction Combined with Wiener Filtering for Speech Communication IET International Communication Conference on Wireless Mobile and Computing pp 726 729 2009 Satish Kumar O P Singh G R Mishra Saurabh Kumar Mishra Akanksha Trivedi Speech Compression and Enhancement using WaveletCoders International Journal of Electronics Communication and Computer Engineering Volume 3 Issue 6 ISSN Online 2249 071X ISSN Print 2278 4209 James R Hamilton Musical Noise British Journal of Aesthetics Vol 39 No 4 October lag pp 350 363 doi 10 1093 bjaesthetics 39 4 350 Ben Gold and Nelson Morgan Speech and Audio Signal Processing John Wiley and Sons 2000 Jr J R deller J Hansen and J G Proakis Discrete time processing of speech signals IEEE press New

    Original URL path: http://www.ijorcs.org/manuscript/id/66/s-ramesh-p-ganesh-kumar/a-study-of-routing-techniques-in-intermittently-connected-manets (2016-05-01)
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  • Congestion Prediction and Adaptive Rate Adjustment Technique for Wireless Sensor Networks
    be regulated to improve network performance In this paper we propose a congestion prediction and adaptive rate adjustment technique for Wireless Sensor Networks This technique predicts congestion level using fuzzy logic system Node degree data arrival rate and queue length are taken as inputs to the fuzzy system and congestion level is obtained as an outcome When the congestion level is amidst moderate and maximum ranges adaptive rate adjustment technique is triggered Our technique prevents congestion by controlling data sending rate and also avoids unsolicited packet losses By simulation we prove the proficiency our technique It increases system throughput and network performance significantly References Cited By Mansoor uz Zafar Dawood Noor Zaman Abdul Raouf Khan and Mohammad Salih Designing of energy efficient routing protocol for Wireless Sensor Network WSN Using Location Aware LA Algorithm Journal of Information Communication Technology Vol 3 No 2 Fall 2009 Jaydip Sen A Survey on Wireless Sensor Network Security International Journal of Communication Networks and Information Security IJCNIS Vol 1 No 2 August 2009 Charalambos Sergiou Congestion Control in Wireless Sensor Networks Department of Computer Science June 2007 Bret Hull Kyle Jamieson Hari Balakrishnan Mitigating Congestion in Wireless Sensor Networks In Proceedings of the 2nd international conference on Embedded networked sensor systems SenSys 04 ACM New York USA 134 147 doi 10 1145 1031495 1031512 Maciej Zawodniok and Sarangapani Jagannathan Predictive Congestion Control Protocol for Wireless Sensor Networks IEEE Transactions on Wireless Communications November 2007 pp 3955 3963 doi 10 1109 TWC 2007 051035 C Wang B Li K Sohraby M Daneshmand and Y Hu Upstream Congestion Control in Wireless Sensor Networks Through Cross Layer Optimization IEEE Journal on Selected Areas in Communications Vol 25 Issue 4 2007 pp 786 795 doi 10 1109 JSAC 2007 070514 Mohammad Hossein Yaghmaee and Donald Adjeroh A New Priority Based Congestion Control Protocol for Wireless Multimedia Sensor Networks WoWMoM 2008 pp 1 8 doi 10 1109 WOWMOM 2008 4594816 Swastik Brahma Kevin Kwiatand and Mainak Chatterjee Congestion Control and Fairness in Wireless Sensor Networks IEEE PerSeNS March 2010 pp 413 418 doi 10 1109 PERCOMW 2010 5470632 Rekha Chakravarthi C Gomathy Suraj K Sebastian Pushparaj K and Vinu Binto Mon A Survey on Congestion Control in Wireless Sensor Networks International Journal of Computer Science Communication Vol 1 No 1 January June 2010 pp 161 164 U Urathal alias Sri Swathiga and C Chandrasekar An Efficient Fuzzy based Congestion Control Technique for Wireless Sensor Networks International Journal of Computer Applications Volume 40 No 14 February 2012 doi 10 5120 5052 6151 C Wang B Li K Sohraby M Daneshmand and Y Hu Upstream Congestion Control in Wireless Sensor Networks Through Cross Layer Optimization IEEE Journal on Selected Areas in Communications Vol 25 No 4 May 2007 doi 10 1109 JSAC 2007 070514 Joa Hyoung Lee and In Bum Jung Adaptive Compression Based Congestion Control Technique for Wireless Sensor Networks Sensors 10 No 4 pp 2919 2945 2010 doi 10 3390 s100402919 Saeed Rasouli Heikalabad Ali Ghaffari Mir Abolgasem Hadian

    Original URL path: http://www.ijorcs.org/manuscript/id/67/mrs-u-urathal-alias-sri-swathiga-dr-c-chandrasekar/congestion-predictiona-and-adaptive-rate-adjustment-technique-for-wireless-sensor-networks (2016-05-01)
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  • A Review and Analysis on Mobile Application Development Processes using Agile Methodologies
    project therefore requires an iterative developmental plan to cope with uncertainty and a large number of unknown variables Agile Methodologies were thus introduced to meet the new requirements of the software development companies The agile methodologies aim at facilitating software development processes where changes are acceptable at any stage and provide a structure for highly collaborative software development Therefore the present paper aims in reviewing and analysing different prevalent methodologies utilizing agile techniques that are currently in use for the development of mobile applications This paper provides a detailed review and analysis on the use of agile methodologies in the proposed processes associated with mobile application skills and highlights its benefit and constraints In addition based on this analysis future research needs are identified and discussed References Cited By Manifesto for Agile Software Development Agile Alliance 2001 Online http agilemanifesto org A I Wasserman Software Engineering Issues or Mobile Application Development Proceedings of the FSE SDP workshop on Future of Software Engineering Research FoSER 10 397 400 doi 10 1145 1882362 1882443 R Holler Mobile Application Development A Natural Fit with Agile Methodologies VersionOne LLC White Paper 2011 Online www versionone com pdf mobiledevelopment pdf P Abrahamsson J Warsta New directions on Agile methods A comparative analysis International Conference on Software Engineering pp 244 254 2003 doi 10 1109 ICSE 2003 1201204 P Abrahamsson Keynote Mobile software development the business opportunity of today Proceedings of the International Conference on Software Development Reykjavik Iceland pp 20 23 2005 Kannan N 2011 Mobile development Why using an agile methodology makes sense September 2011 Online http searchsoftwarequality techtarget com tip Mobile development Why using an Agile methodology makes sense Jordan B Barlow Justin Scott Giboney Mark Jeffery Keith David W Wilson Ryan M Schuetzler Paul Benjamin Lowry Anthony Vance Overview and Guidance on Agile Development in Large Organizations Communications of the Association for Information Systems Vol 29 Article 2 pp 25 44 2011 B Boehm R Turner Balancing Agility and Discipline A Guide for the Perplexed Boston MA Addison Wesley pp 55 57 ISBN 0 321 18612 5 2004 K Beck Extreme Programming Explained Embrace Change Boston MA Addison Wesley ISBN 0 321 27865 8 1999 Kupe Kupersmith Agile is a Fad Online http www batimes com kupe kupersmith agile is a fad html Christopher R Goldsbury The Agile Management Fad Online http anagilestory com 2012 08 21 the agile management fad Luke Halliwell The Agile Disease Online http lukehalliwell wordpress com 2008 11 16 the agile disease Martin Fowler Using an Agile Software Process with Offshore Development Online http martinfowler com articles agileOffshore html July 2006 What are pitfalls for agile development methodologies Online http stackoverflow com questions 359790 what are pitfalls for agile development methodologies Luis Corral Alberto Sillitti Giancarlo Succi Software Development Processes for Mobile Systems Is Agile Really Taking Over the Business 1st International Workshop on Mobile Enabled Systems MOBS 2013 in connection with ICSE 2013 pp 19 24 IEEE 2013 Andrea A Janes Giancarlo Succi The dark side

    Original URL path: http://www.ijorcs.org/manuscript/id/68/harleen-k-flora-dr-swati-v-chande/a-review-and-analysis-on-mobile-application-development-processes-using-agile-methodologies (2016-05-01)
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  • Channel Aware Mac Protocol for Maximizing Throughput and Fairness
    routing protocol is a challenging task in MANET To overcome this drawback we are extending the previous work by improving the MAC protocol to maximize the Throughput and Fairness In this work we are estimating the channel condition and Contention for a channel aware packet scheduling and the queue length is also calculated for the routing protocol which is aware of the queue length The channel is scheduled based on the channel condition and the routing is carried out by considering the queue length This queue length will provide a measurement of traffic load at the mobile node itself Depending upon this load the node with the lesser load will be selected for the routing this will effectively balance the load and improve the throughput of the ad hoc network References Cited By Fan Wang Ossama Younis and Marwan Krunz Throughput oriented MAC for mobile ad hoc networks A game theoretic approach 2008 Published by Elsevier B V doi 10 1016 j adhoc 2007 12 002 Mariam Kaynia Nihar Jindal and Geir E Øien Improving the Performance of Wireless Ad Hoc Networks Through MAC Layer Design IEEE Transactions on Wireless Communications vol 10 no 1 January 2011 doi 10 1109 TWC 2010 110310 100316 Hongqiang Zhai Jianfeng Wang Xiang Chen and Yuguang Fang Medium Access Control in Mobile Ad Hoc Networks Challenges and Solutions 2006 doi 10 1002 wcm 376 P Priakanth Dr P Thangaraj Energy and Channel Aware MAC Protocol to Achieve Fairness in Multi Hop Mobile Adhoc Networks IJCSNS International Journal of Computer Science and Network Security VOL 8 No 4 April 2008 Zhifei Li Sukumar Nandi and Anil K Gupta Study of IEEE 802 11 Fairness and its Interaction with Routing Mechanism In the Fifth IFIP International Conference on Mobile and Wireless Communications Networks MWCN Singapore Oct

    Original URL path: http://www.ijorcs.org/manuscript/id/69/g-suseendran-e-chandrasekaran/channel-aware-mac-protocol-for-maximizing-throughput-and-fairness (2016-05-01)
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