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Journal Cover International Journal of Convergence Computing
  [1 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 2048-9129 - ISSN (Online) 2048-9137
   Published by Inderscience Publishers Homepage  [407 journals]
  • Wormhole attack detection and data aggregation algorithm for wireless
           sensor networks
    • Authors: Mukesh Kumar, Kamlesh Dutta
      Pages: 202 - 216
      Abstract: Wireless sensor network is a combination of distributed sensor node at ad-hoc infrastructure. Whenever data is transmitted over wireless sensor network, there is more chance of some fault due to wormhole attack during data aggregation. There exist various wormhole detection techniques that do not focus on how to deal when packet is dropped due to wormhole. A great amount of research, time and money have been devoted to improving existing drawbacks of wormhole detection technique. In this paper, we have proposed and evaluated an algorithm that detects the wormhole attack during data aggregation with the help of the common neighbouring information which is a lightweight technique.
      Keywords: data aggregation; network security; wireless sensor networks; WSNs; wormhole attacks; attack detection
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 202 - 216
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076026
      Issue No: Vol. 1, No. 3/4 (2016)
  • Congestion aware multi-path routing protocol for mobile ad-hoc
    • Authors: Diwakar Bhardwaj, Krishna Kant
      Pages: 217 - 231
      Abstract: We propose a congestion-based extension to existing multipath routing protocol AOMDV (CA-AOMDV). AOMDV is based on minimum number of hops count between source and destination nodes and is not suitable for real time applications because of its high end to end delay, jitter and packet loss. CA-AOMDV selects a least congested path instead of minimum number of hops between source and destination nodes. CA-AOMDV performs well under high load and varying mobility conditions. In CA-AOMDV, end to end delay is improved by 20%-80%, jitter is reduced by 25%-47%, routing overheads is reduced by 40%-70%. CA-AOMDV performs better than AOMDV in real time applications.
      Keywords: mobile ad hoc networks; MANETs; multipath routing protocols; congestion level; quality of service; QoS; real time applications; queuing delay; congestion awareness; AOMDV; jitter; routing overheads
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 217 - 231
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076028
      Issue No: Vol. 1, No. 3/4 (2016)
  • Simulink implementation of IEEE 802.11p for rear end collision avoidance
    • Authors: K.G. Manjunath, N. Jaisankar
      Pages: 232 - 243
      Abstract: Road safety can be enhanced by the deployment of wireless communication systems for vehicular networks, which enable new services such as collision detection and collision avoidance, traffic management, adaptive traffic control and other communication facilities between vehicles on road. The 802.11p protocol modifies the 802.11 standard for wireless local area networks (WLANs) in a vehicular environment. The main application of 802.11p is vehicle-to-vehicle (V2V) communication. This paper presents the MATLAB/SIMULINK Implementation of IEEE 802.11p for vehicular area network and its application to rear end collision avoidance system with Honda algorithm. To show the efficiency of the work we also presented the case studies with different vehicle speeds.
      Keywords: IEEE 802.11; Honda algorithm; collision avoidance; vehicular ad hoc networks; VANETs; wireless LANs; local area networks; WLAN; simulation; rear end collisions; road safety; vehicle-to-vehicle; V2V communication; vehicle speed; vehicle safety
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 232 - 243
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076031
      Issue No: Vol. 1, No. 3/4 (2016)
  • Unequal cluster-based fault prediction algorithm for wireless sensor
    • Authors: K.G. Manjunath, N. Jaisankar
      Pages: 244 - 258
      Abstract: In wireless sensor networks, the lifetime of the sensor network is hottest research topic. Efficient usage of energy in each sensor node is very important issue in designing the network topology which affects the lifetime of sensor networks significantly. Clustering provides an efficient method for maximising the network lifetime. In clustering, the cluster head failure can disconnect the cluster members and cluster from the base station. To prevent this and to extend the network lifetime, we propose a fault prediction algorithm. In this algorithm, each sensor node tries to estimate the amount of energy it will spend to transfer k bit data in the near future using integrated double exponential smoothing model. It uses two different smoothing factors to estimate the current energy level and uses it as a forecast for the future value. The proposed algorithm is simulated in NS2.34 and compared with clustering and fault tolerance for target tracking using wireless sensor networks (FTTT). The results show that our algorithm effectively prevents the cluster head and cluster members from failure by predicting the energy level of each sensor node effectively and extends the network lifetime significantly.
      Keywords: unequal clustering; fault prediction; reliability; network lifetime; wireless sensor networks; WSNs; energy consumption; simulation
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 244 - 258
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076029
      Issue No: Vol. 1, No. 3/4 (2016)
  • Converging formalisations of communicational spaces
    • Authors: K.G. Manjunath, N. Jaisankar
      Pages: 259 - 280
      Abstract: Based on statistical mechanics and on communication and its probabilities, this article deals with the concept of communicational spaces and tries to renew, clarify and formalise it from a physical and mathematical standpoint. Starting out from the likelihood of communication, distance in space is defined according to the number of options to communicate. A century ago, the formalisms of statistical thermodynamics were developed mainly by Ludwig Boltzmann to deal with a large number of states in a state space. Such formalism is applied to the large number of options to communicate. In this tradition, a definition of distance in space is attempted. Each form of communication is thought to constitute its own type of space. More generally, space is seen as an opportunity for processes; and time is seen as a substrate to enact processes. In a less formulaic chapter, a definition of space is explored on the basis of principal options to interact. The social and practical implications of such conception are explored. In conclusion, the deep meaning of space is understood in the sense that space separates possibilities for communication.
      Keywords: space; metrics; geometry; statistical thermodynamics; paradigms; Ludwig Boltzmann; communication; philosophy; Naturphilosophie; ontology; formalisation; communicational spaces; statistical mechanics
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 259 - 280
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076021
      Issue No: Vol. 1, No. 3/4 (2016)
  • An empirical analysis of the impact of textile professional market on the
           regional economy
    • Authors: Ye Hang, Qu Hongjian, Yu Sun
      Pages: 281 - 294
      Abstract: Textile industry is a traditional pillar industry in China, in the process of industrialisation, it has accumulated a large number of funds for the construction of national economy. At the same time, along with the development of many professional textile and garment markets, they have made great contributions in promoting the development of the regional economy. In order to study the impact of textile professional market on the regional economy, this paper use oriental silk professional market and Suzhou (2001-2011) regional economy data; Textile City professional market and Shaoxing (2001-2011) regional economy data as samples and have an empirical analysis of the impact of the textile professional market on the regional economy. This paper will extract common factors of regional economy indicators as explained variables through factor analysis. The study found the following conclusions: oriental silk professional market, the size of the textile professional market, improvement of directors' average compensation and the good modest growth of shareholders' equity can promote the development of regional economy. And such as earnings per share, gross profit, sales revenue of the top five customers, operating room rental gross margin have no obvious effects on the regional economy development. The development of Textile City professional markets in our analysis is more mature than the Oriental silk professional market.
      Keywords: garment industry; clothing industry; apparel industry; regional economy; factor analysis; regression analysis; textile industry; regional development; China; silk markets
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 281 - 294
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076027
      Issue No: Vol. 1, No. 3/4 (2016)
  • P2P mobile JXTA combinational auction model for Premier League Cricket
    • Authors: R. Rajkumar, N.C.S.N. Iyengar, Changpeng Ji
      Pages: 295 - 307
      Abstract: The development of wireless devices has made mobile to become the most indispensable part of human life. M-commerce applications include mobile auction, ticketing, purchasing, banking, etc., among these, mobile auction is gaining a lot of importance in the recent days. The Indian Premier League (IPL) is a professional league for Twenty 20 cricket championship in India. It was initiated by the Board of Control for Cricket in India (BCCI) currently contested by nine teams, consisting of players from around the world. It is of interest to study how the various teams have strategised their decision on setting the final bidding price of the players according to performance of the players in the previous editions of IPL and other similar formats of the game with team's own performance in previous seasons. Mobile JXTA applications and services that are usually available on client/server platforms identify solutions for P2P systems where decentralisation is considered. In this paper, we explore architecture for P2P hedonic double auction model that can be implemented to estimate the bidding price of the players based on their previous performance along with the effect of individual personalities that depend on the existence of central authorities in JXTA environment with proxy and proxiless peer groups.
      Keywords: JXTA; peer to peer; P2P hedonic double auction; relay peers; edge peers; combinational auctions; Indian Premier League; IPL; cricket tournaments; m-commerce; mobile commerce; mobile auctions; Twenty20 cricket; T20; bidding price; previous performance; individual
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 295 - 307
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076024
      Issue No: Vol. 1, No. 3/4 (2016)
  • Building of linear mathematical classifiers optimised with differential
    • Authors: Anuradha Yarlagadda, J.V.R. Murthy, M.H.M. Krishna Prasad
      Pages: 308 - 322
      Abstract: A linear regression mathematical model for data classification is studied in this paper. Least square estimation and differential evolution techniques are used separately to compute the coefficients of the regressive model. Experimentations are carried on fourteen datasets comprising of pure numerical, pure categorical and mixed features values in which a simple integer coding is used to convert categorical features values to numerical feature values. Irrelevant and redundant features of three high dimensional data are removed using fast-clustering based feature subset selection technique and then efficient mathematical models are developed. All the results are averaged over thirty simulation runs and the average percentage of correct classifications are reported. From the result analysis it is clearly observed that differential evolution based approach, performs better in terms of providing correct classifiers. The feature selection algorithm removes many unnecessary features of the datasets and reduces the computational cost of building the mathematical models.
      Keywords: least squares estimation; mathematical modelling; linear regression; differential evolution; linear mathematical classifiers; optimisation; data classification; simulation
      Citation: International Journal of Convergence Computing, Vol. 1, No. 3/4 (2015) pp. 308 - 322
      PubDate: 2016-04-22T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2015.076025
      Issue No: Vol. 1, No. 3/4 (2016)
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