Volume 3, Issue 9, September 2013

Comparison and Analysis of Energy-Efficient Geographical and Power Based Clustering Algorithm for Heterogeneous WSNs [Download Paper]

Mohd. S. Jahan, A. Sali, W. Usaha, Nurul Azman A. Kadir, Mohd. Fadlee A. Rasid, and Borhanuddin Mohd. Ali

Abstract—In wireless Sensor Network, efficient usage of energy is very critical because, sensor nodes being battery-operated, the network operations are often restricted by the energy limitations. In legacy, WSNs nodes were homogeneous and hence could not take full advantage of the presence of heterogeneity in the network. Therefore, it is necessary to develop a energy efficient clustering protocol. In this paper we propose and analysis, Geographical and Power based Clustering Algorithm (GPCA): a heterogeneous aware of clustering protocol, which has significant impact on the entire energy dissipation of WSNs. In this regard, the concept of virtual cluster header is introduced, where it is the head of a cluster. The virtual cluster header formation process is simpler distributed technique to reduce the overhead than normal cluster formation process. In GPCA, energy dissipation of the entire network is reduced because sensor nodes evenly share their lifespan and data transition distance is shortened. From simulation results, the proposed GPCA scheme shows greater performance than the renowned energy-efficient scheme LEACH, in terms of stability of network (14% greater), number of transmitted packet, network lifespan (54% greater) and energy consumption (24 % lesser). 

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QoMoD: Effective Query Optimization in Mobile Database Systems [Download Paper]

Kshama Raichura, Nilesh Padhariya and Kishor Atkotiya

Abstract— This work proposes QoMoD system for the effective query optimization in mobile database systems. In the recent era, the proliferation of mobile devices increases the high traffic on Internet. Furthermore, the large number of smart-mobile devices is capable to carry considerable amount of data with them. Increasing storage capability of mobile devices has inspired us to perform effective query optimization on mobile database systems, where small part of the central database can be cached on local mobile database for performing faster query processing. This further reduces the need of constant connectivity of the device to the central server, which reduces the Internet traffic. In QoMoD, the query issuer retrieves data from the cached mobile database, which minimizes the traffic at central database server. We consider the n number of possible Query Execution Plans (QEPs) available for query processing, which are being optimized by query optimizer through optimal plan choice. The main contributions of our work are three fold. First, we propose query optimization model QoMoD for faster data retrieval and effective query processing. Second, we propose two schemes, namely Sequential Query Optimization (SEQ) and Sorted Query Optimization (SRT), for developing QEPs. Third, we conduct a performance study, which demonstrates that SRT is indeed effective in improving performance of query processing with optimization, while minimizing the communication traffic. 

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Vehicle Counting in Heterogeneous Traffic Condition [Download Paper]

Swapnil R. Gupta, Harish K. Pillai, Tom V. Mattew

Abstract—Traffic counting for Indian heterogeneous traffic has become the need of the hour. In India due to lack of lane discipline it become tedious to use sensor system to achieve good accuracy. In this paper we discuss one such system using Inductive Loop system for traffic counting on Indian road. We have installed 8 similar loops of 1.1m x 1.1m on Jogeshwari Vikhroli link road (JVLR) in Mumbai. We have verified our traffic count using Video Camera installed on divider of road. Adjacent to our loop installation there is a setup of data acquisition cabin (2m x 1m x 2m) for collecting and analyzing of data. An Algorithm is implemented to count vehicles based on their triggering time on adjacent loops. This traffic counting system using inductive loops gives accuracy of > 95% in peak and off-peak hours along with classification accuracy of >50%. 

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A Novel Method for Information Hiding in Gradient Image [Download Paper]

Dr. Salman Abd Kadum and Ali Abdul Azeez Mohammad Baker

Abstract - In this paper, we introduce a new method to hide information in Gradient image, the place where we hide message depend on the value of gray scale of the gradient image. The proposed system consist of two stages. First stage for message hiding where gradient image will be determined by using Robert method, while second stage for extract message from gradient image. Hide information in gradient image must never alter the visual properties of original image. In this paper, we also use a new technique in way of hiding information depend on the gradient image by determining the edge of objects in original image and hide the message in the gradient image in a specific range of gray scale values of the original image.