MOST VIEWED ARTICLE IN ACADEMIA FOR A YEAR INTERNATIONAL JOURNAL OF UBICOMP (IJU) ISSN: 0975 - 8992 (ONLINE) ISSN 0976 - 2213(PRINT)
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PERFORMANCE COMPARISON OF ROUTING PROTOCOLS IN MOBILE AD HOC NETWORKS Mohamed Elboukhari1 , Mostafa Azizi1 and Abdelmalek Azizi 2,3 1 Department of Applied Engineering, ESTO, Oujda, Morocco 2 Departement Mathematics & Computer Science, FSO, Oujda, Morocco 3 Academy Hassan II of Sciences & Technology, Rabat, Morocco
ABSTRACT Routing protocols have an important role in any Mobile Ad Hoc Network (MANET). Researchers have elaborated several routing protocols that possess different performance levels. In this paper we give a performance evaluation of AODV, DSR, DSDV, OLSR and DYMO routing protocols in Mobile Ad Hoc Networks (MANETS) to determine the best in different scenarios. We analyze these MANET routing protocols by using NS-2 simulator. We specify how the Number of Nodes parameter influences their performance. In this study, performance is calculated in terms of Packet Delivery Ratio, Average End to End Delay, Normalized Routing Load and Average Throughput.
KEYWORDS Mobile Ad Hoc Networks (MANETs), Performance Comparaison, AODV, DSR, DSDV, OLSR, DYMO
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AUTHORS Mohamed elboukhari received the DESA (diploma of high study) degree in numerical analysis, computer science and treatment of signal in 2005 from the University of Science, Oujda, Morocco. He is currently an assistant professor, department of Applied Engineering, ESTO, university Mohamed First, Oujda, Morocco. His research interests include cryptography, quantum cryptography and wireless network security, Mobile Ad Hoc Networks (MANETS). Mostafa azizi received the diploma of engineer in automatic and computer industry in 1993 from school Mohammadia of engineers, Rabat, Morocco and he received the Ph. D in computer science in 2001 from the university Montreal, Canada. He is currently professor at university of Mohamed first, Oujda, Morocco. His main interests include aspect of real time, embedded system, security and communication and management of the computer systems in relation with process industry. Abdelmalek azizi received the Ph. D in theory of numbers in 1993 from university Laval, Canada. He is professor at department of mathematics in university Mohamed First, Oujda, Morocco. He is interesting in history of mathematics in Morocco and in the application of the theory of number in cryptography
A PROPOSED NOVEL APPROACH FOR SENTIMENT ANALYSIS AND OPINION MINING Ravendra Ratan Singh Jandail, Galgotias University, India
ABSTRACT As the people are being dependent on internet the requirement of user view analysis is increasing exponentially. Customer posts their experience and opinion about the product policy and services. But, because of the massive volume of reviews, customers can’t read all reviews. In order to solve this problem, a lot of research is being carried out in Opinion Mining. In order to solve this problem, a lot of research is being carried out in Opinion Mining. Through the Opinion Mining, we can know about contents of whole product reviews, Blogs are websites that allow one or more individuals to write about things they want to share with other The valuable data contained in posts from a large number of users across geographic, demographic and cultural boundaries provide a rich data source not only for commercial exploitation but also for psychological & sociopolitical research. This paper tries to demonstrate the plausibility of the idea through our clustering and classifying opinion mining experiment on analysis of blog posts on recent product policy and services reviews. We are proposing a Nobel approach for analyzing the Review for the customer opinion
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REFERENCES [1] Khairullah Khan, BaharumB.Baharudin, Aurangzeb Khan, Fazal-e-Malik , Mining Opinion from text Documents: A Survey, 3rd IEEE International Conference on Digital Ecosystems and Technologie, 2009 [2] David Alfred Ostrowski, Sentiment Mining within Social Media forTopic Identification ,IEEE Fourth International Conference on Semantic Computing 2010 [3] ANA SUFIAN ,RANJITH ANANTHARAMAN ,Social Media Data Mining and Inference system based on Sentiment Analysis 2011 [4] KENNETH BLOOM,Sentiment Analysis Based On Appraisal Theory And Functional Local Grammar 2011. [5] ANA SUFIAN ,RANJITH ANANTHARAMAN , Social Media Data Mining and Inference system based on Sentiment Analysis 2011 [6] Hsinchun Chen and David Zimbra,AI and Opinion Mining ,Ieee InTeLLIGenTSySTeMS 2010 [7] Bo Pang and Lillian Lee Opinion Mining and Sentiment Analysis, Foundations and TrendsR_ in Information Retrieval 2008 [8] NorlelaSamsudin, MazidahPuteh, Abdul RazakHamdan, MohdZakree Ahmad Nazri , Is Artificial Immune System Suitable for OpinionMining? 4th Conference on Data Mining and Optimization (DMO) , Langkawi, Malaysia 02-04 September 2012 [9] rik Cambria, Bj rnSchuller, unqing ia, Catherine Havasi, Published by the IEEE Computer Society 2013 [10] ThanhThung ,evaluation of natural language Processing technique for Sentiment Analysis , 2012
SMARTPHONE PREVENTIVE CUSTOMIZED POWER SAVING MODES Ahmed Sameh and Abdulla Al-Masri, Prince Sultan University, KSA
ABSTRACT The postulate of this paper is that current smart phones' power saving modes can be improved towards saving more power and/or gain more user satisfaction only if they start following “preventive” and/or user customized power saving plans. We develop a number of preventive power saving modes that save the battery power without the need of using the power of the same battery for detecting abusage. It will be supporting the user with a preventive plan that could give him/her an idea about what to run or don’t run. Another issue of current power saving modes is the “One Size Fits All” philosophy which does not take into consideration the factors that could distinguish different Smartphone users, for example, the nature of the workspace of the user (Indoor/Outdoor), the age, the gender and/or the user’s applications categories of interests. The paper develops a strategy to match a Smartphone power saving mode with its perfect Smartphone user by classifying smart phones users into classes depending on a set of different factors and having the user to identify himself/herself to the Smartphone before the first use.
KEYWORDS Power saving, Preventive, Detective, User Profile
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REFERENCES [1] A. Almasri, Preventive Customized Strategies for Saving Energy on Smartphones, M.Sc. Thesis, Prince Sultan University, 2015 [2] W. Yuan and K. Nahrstedt, ‘Energy-Efficient Soft Real-Time CPU Scheduling for Mobile Multimedia Systems’, in Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles, SOSP ’03, New York, 2003 [3] S.K. Datta, C. Bonnet and N. Nikaein, ‘Power Monitor v2: Novel Power Saving Android Application’, in 2013 IEEE 17th International Symposium on Consumer Electronics (ISCE), 2013 [4] S. Chakraborty and D.K.Y. Yau, ‘Predicting Energy Consumption of MPEG Video Playback on Handhelds’, in 2002 IEEE International Conference on Multimedia and Expo, 2002. ICME ’02. Proceedings, 2002 [5] R. Perez-Torres and C. Torres-Huitzil, ‘A Power-Aware Middleware for Location Amp; Context Aware Mobile Apps with Cloud Computing Interaction’, in 2012 World Congress on Information and Communication Technologies (WICT), 2012 [6] J. Flinn, ‘Reducing the Energy Usage of Office Applications’, in Middleware 2001, ed. by Rachid Guerraoui, Lecture Notes in Computer Science, 2218 (2001) [7] Yuan and Nahrstedt, ‘Energy-Efficient Soft Real-Time CPU Scheduling for Mobile Multimedia Systems’, Lecture Notes in Computer Science, 2218 (2001) [8] https://support.google.com/googleplay/answer/6014972?hl=en [9] Abogharaf and Naik, ‘Client-Centric Data Streaming on Smartphones’, Mobile and Wireless Networking (MoWNeT), International Conference on Selected Topics, 2013 [10] W. Yuan and others, ‘Design and Evaluation of a Cross-Layer Adaptation Framework for Mobile Multimedia Systems’, 2003, Electronic Imaging 2003 [11] H. Zeng ‘ECOSystem: Managing Energy As a First Class Operating System Resource’, in Proceedings of the 10th International Conference on Architectural Support for Programming Languages and Operating Systems, New York, 2002 [12] http://ziyang.eecs.umich.edu/projects/powertutor/ [13] Bonino and Corno, ‘DogOnt - Ontology Modeling for Intelligent Domotic Environments’ 2008 [14] Yuan, ‘Design and Evaluation of a Cross-Layer Adaptation Framework for Mobile Multimedia Systems’ SPIE/ACM Multimedia Computing and Networking Conference (MMCN), 2003