Dr. Vijay Kumar B. P.
Vijay's Photo

  VIJAY KUMAR Beekan Received the Ph. D degree in Electrical Communication Engg., Department from Indian Institute of Science, Bangalore in 2003. and M.Tech degree in Computer Science and Technology from the University of Roorkee, with honors in 1992. He is currently a professor, in Computer Science and Engg., Dept., J N N college of Engg., Shimoga, Karnataka, India, where he is involved in research and teaching UG and PG students, and his major area of research are Computational Intelligence applications in Mobile networks.

Address:   Professor, Computer Science and Engg., Dept.,
Jawaharlal Nehru National College of Engg.,
Shimoga- 577 204, Karnataka, India.
Email:   vijaykbp@yahoo.co.in, vijay@protocol.ece.iisc.ernet.in 
Phone:   (+91)-8182-270450 (office),
Fax: (+91)-8182-222450.
Home page:   http://pet.ece.iisc.ernet.in/vijay
Address:   Ex-Research Scholar,
Protocol Engineering and Technology (PET) Unit,
Electrical Communication Engg. Dept.,
Indian Institute of Science, Bangalore - 560 012, INDIA.
Phone:(+91)-80-2293 2282, 2293 2408, 2293 2747 (office),
Fax: (+91)-80-2360 0991, 360 8150,

A challenging research/development position in the research areas of interest: Mobile networks, Protocol Engineering, Computational intelligence technique  in mobile and Ad-hoc networks. 


Ph.D in Electrical Communication Engineering Department, expected by the end of 2001,
CGPA :   7/8 (Research training programme)
Advisor:   Prof. P. Venkataram, Professor, Chief Program Executive
Protocol Engineering and Technology (PET) Unit
Communication Engineering Dept
Indian Institute of Science, Bangalore-560 012, INDIA

Home page:   http://pet.ece.iisc.ernet.in/pallapa
Thesis:      Neural network Applications in Mobile Networks 

Indian Institute of Technology (UNIVERSITY OF ROORKEE), INDIA

M. Tech in Electronics and Computer Engg. Department, with honors, (75.75%), 1992.
Advisor:   Prof. A. K. Sarje and Prof. R. Thapar, Professor, EC Dept
Thesis:   Protocol specification, verification and synthesis

Bachelor of Engineering in Electronics and Communication Engg., with Distinction 1987

Handling some of the assignments, laboratory classes and also one or two classes of Communications Protocols and Multimedia Information System courses for graduate students at Indian Institute of Science.

Research guidance to under graduate and graduate students.

  • Lecturer from 1987 to 1993 in Electronics and Communication Engg. Dept., with Adichunchanagiri Institute of Technology, Mysore University, Chikmagalore, Karnataka, India. 
  • Assistant Professor from 1993 to 2002 in Computer Science and Engineering Dept., with Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India

  • Professor from 2002 to 2005 in Computer Science and Engineering Dept., with Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India

  • Professor & Chief Co-ordinator 2005 to 2006, TIFAC-CORE in Pervasive Computing Technologies, Velammal Engineering College, Chennai.

  • Professor from 2006 to till date in Computer Science and Engineering Dept., with Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India

Rapid advances in modern high speed networks and wireless/Mobile networks, with the support of internet growth, have produced tremendous research and commercial opportunities in the area of mobile multimedia communications. Differentiated service or service subject to quality requirements and mobility of end users/terminals needs software and/or hardware support at both intermediate and end systems, i.e., routers, Mobile Switching Centers (MSC), Base Station (BS), etc. The increasing demand for such services has led to many new research topics such as resource management for quality of service (QoS), Admission Control, Location management, Routing and mobile computing for mobile multimedia networking. My research interests include Resource management, Admission Control, Location and connectivity management, Dynamic routing for mobile multimedia conferencing and the applications of Neural Networks (NNs) to solve optimization, prediction and classification problems arising in mobile multimedia networks. 


Resource management and Admission Control
In mobile networks the traffic fluctuation is unpredictable due to mobility and varying resource requirement of multimedia applications. Hence it is essential to maintain the traffic within the network capacity to provide the Service guarantees to running applications. In this work, we propose an Admission Control (AC) scheme in a single mobile cellular environment supporting real-time and non-real-time application traffic. In the case of a real-time and non-real-time multimedia applications, each applications has its own distinct range of acceptable Quality of Service (QoS) requirements (e.g., packet loss, delay, jitter, etc.). The network provides the service by maintaining the application specified QoS range. We propose a Linear Programming Resource Reduction (LP-RR) principle for admission control by maintaining QoS guarantees to existing applications and to increase the percentage of admission to real-time and non-real-time applications. Artificial Neural Networks (ANNs) are used to solve linear programming problem, which facilitates in real time control decision in the practical systems. The model is computationally less expensive and faster for resource allocation. The reason for the use of neural networks is based on the consideration that a hardware-implemented neural networks can get a solution in a few microseconds.

We present an analytical model and results for the proposed admission control scheme with resource reduction principle and a simulation study of the admission control for performance evaluation. The suggested scheme along with the LP-based resource reduction has shown that it is appropriate for the reduction of assigned resources for running applications during over load conditions and allocation of resources to requesting applications.

Prediction based Location Management
Location Management is one of the key issues in mobile networks to provide an efficient and low cost services. In this work, we propose a prediction based location management scheme for locating a Mobile Host (MH), which depends on its history of movement pattern. A Multi-layer Neural Network (MNN) model for mobile movement prediction is designed to predict the future movement of a mobile host. The MNNs are trained with respect to the time series data obtained from the movement pattern of a mobile host for making predictions. 

Connectivity Management for Mobile Computing Environment 
The mobile computing environment experiences wireless problems and suffers from limited bandwidth, which leads to frequent disconnections. This has posed a challenge in maintaining user-to-user connectivity and its management in the mobile computing environment. In this work, we propose a Neural Network (NN) based connectivity management for mobile computing environment by maintaining the status information of mobile hosts at the base station. Here, the connectivity management handles frequent disconnection of Mobile Hosts (MHs) which are occurred due to hand-offs and interruptions. The disconnection of a MH due to wireless problems is called interruption. The neural networks are trained with respect to the status information to provide an intelligent decision for the connectivity management. 

Reliable Multicast Routing in Mobile Networks: A Neural Network Approach
Mobile networks that handle multicast communication services, like video-on-demand, news-on-demand, etc., require a kind of reliable and secure point-to-point, point-to-multipoint specific group communications for sophisticated organization of multicast communications. A reliable multicast tree is an efficient connectivity between the source node and the multicast group members through the dependable hosts. Besides that the mobile host change their access point over time hence multicast routes must be updated. This poses several challenges to provide an efficient multicast routing. 

In this work we propose a Neural Network (NN) based multicast routing algorithm for constructing a reliable multicast tree that connects the participants of a multicast group. The problem is tackled by dividing a mobile network into clusters of nodes based on the adjacency relation between the nodes (Mobile Support Stations), by considering a suitable neighborhood distance. The center cluster, whose nodes are almost equidistance from the multicast group members, is computed to construct a shortest multicast tree that passes through the center cluster and reliable routers among all the group members. We have used a Kohonens self-organizing map Neural Network (KNN) for clustering.

Hopfield Neural Networks (HNNs) are used to construct a multicast tree with a minimum number of links and passes through the nodes that belong to center cluster. Also, the tree is constructed as and when the member(s) moves. This scheme should construct a reliable multicast tree and minimize re-computation time of the multicast tree as and when the multicast route is updated when the mobile hosts change their access point due to mobility. The algorithm can be extended for constructing reliable multicast trees for more than one multicast groups.

Protocol Engineering (Conformance test sequence generation) 
Conformance testing for communication protocols is to test whether a protocol under test, conforms to the specifications laid down during the design phase. The work that is carried out is, ''An optimal test sequence generation using Multiple Unique Input/Output sequences (MUIOS)''. Here, the test sequence generation problem using MUIOS is viewed as an asymmetric traveling sales person problem. This problem is solved by using a Hopfield Neural Network as an optimization model. This technique is applied to various test cases and the results are compared with the results obtained by using Chinese Postman Tour Algorithm.

Journal papers: 
  1. Vijay kumar B. P. and Venkataram P, ''A LP-based Admission Control using Artificial Neural Network for Integrated Services in Mobile Networks'', Jr. of Wireless Personal Communications, vol. 20, no. 3, pp. 219-236, March, 2002. 
  2. Ghosal S, Venkataram P and Vijay kumar B. P, " Neural Network based Optimal routing algorithm for communication networks", Intl. Jl. of Neural Networks, vol. 15, pp. 1289-1298, 2002.
  3. Vijay kumar B. P. and Venkataram P, ''A LP-RR Principle based Admission Control for a Mobile Network'', IEEE Transactions on Systems, Man and Cybernetics-PART C: Applications and Reviews, vol. 32, no. 4, pp. 293-306, Nov. 2002. 
  4. Vijay kumar B. P. and Venkataram P, ''A Prediction based Location Management using Multi-layer Neural Networks'', Journal Indian Institute of Science, vol. 82, pp. 7-21, 2002. 
  5. Vijay kumar B. P. and Venkataram P, ''A Neural Network Based Connectivity Management for Mobile Computing Environment'', International Journal of Wireless Information Networks, vol. 10, no. 2, April, 2003. 
  6. Vijay kumar B. P. and Venkataram P, ''Reliable Multicast Routing in Mobile Networks: A Neural Network approach'', IEE Proc. - Communications, vol. 150, no. 5, pp. 377-384, October, 2003. 
  7. Vijay Kumar B.P. “An Efficient multiple Multicast Routing in Mobile Networks", Accepted to International Journal on Wireless Personal Communications, August, 2006.
Conference papers: 
  1. Vijay Kumar B.P, Suresh C and Shesh Prakash H.N, "Competency based Flexible Technical Education and Development", National Symposium on Engineering Education (NSEE-05), Indian Institute of Science, Bangalore, India, 2005.
  2. Pramod K.P, Vijay Kumar B.P, Dilip Kumar S.M, “Enhancement of Character Recognition through Intelligent Competent Technique”, Proceedings of International Conference on Human Machine Interfaces (ICHMI’04), Bangalore, India, 2004.
  3. Poornima, Vijay kumar B.P., et.al., “An intelligent agent for personal identification based hand written text”, Indian International Conference on Artificial Intelligence IICAI’04, Hyderabad, India, 2004.

  4. Raghu, Vijay Kumar B.P. et.al., “Deformable modeling and simulation”, National Conference on Signal Processing, Intelligent Networks (SPIN’03), Goa, India, 2003.

  5. Vijay kumar B. P. and Venkataram P, ''An efficient resource allocation scheme for mobile multimedia networks'' 4th IEEE Conference on mobile and wireless communication networks (MWCN' 2002), Stockholm, Sweden, September 9-11, 2002.
  6. Vijay kumar B. P. and Venkataram P, ''Routing and Call Admission Control in Multi-hop Wireless Networks using Hopfield Neural Networks'', International Conference on Information, Communications & Signal Processing' (ICICS'99), Singapore, Dec., 7-10, 1999. 
  7. Vijay kumar B. P. and Venkataram P, ''An optimization technique for Protocol conformance test sequence generation based on MUIOS using Hopfield Neural Networks'', National Conference on Communication (NCC'99), Feb., 1999. 

Experience in other projects: 

One among the active participants in the projects carried out at Protocol Engg. and Tech. (PET) Unit, ECE Dept., IISc. Bangalore. INDIA.

  • Design and development of an ''IP-based Multimedia Network Service Platform (MNSP)". 
  • Design and development of API's for Multimedia Wireless LAN: Admission Control, Buffer management, and Synchronization. 
  • Design and development of a Quality of Service adaptation and Mixers Algorithms.
  • Mobile IP.

Operating systems:   Windows 95/98, Unix. 
Languages:    C, C++, Assembly languages (8085, 8086/8088 etc.,), PASCAL, FORTRAN 

  • IEEE Student member 
  • Life member of India Society for Technical Education (LMISTE). 

  • Reviewer for the following Journals and conferences
    • International journal of Systems Science, 2004.
    •  IEEE trans. on Neural Networks, 2004.
    • International journal on Wireless and Information Networks, 2003.
    • Information Sciences: An International Journal, Elsevier Science, 2003.
    • 1st Indian International Conference on Artificial Intelligence (IICAI-03), Hyderabad, India, December 2003.
    • Technical Co-ordinator, International Conference on Human Machine Interfaces, (ICHMI'2004), Jnnce, Kuvempu University, MIT Touch lab. USA, at Indian  Institute of Science, 2004.
  • Academic or Technical activities
    • Member for Board of Examiner for Post-graduate and Under-graduate courses in University Visweshwarai College of Engg., (UVCE), Bangalore University, Karnataka, INDIA.
    • Member for Board of Examiner for Post-graduate and Under-graduate courses in Visweshwarai Technological (VT) University, Karnataka, INDIA.
    • Chief member for Cental Valuation work of Mysore, Kuvempu and VT University, Karnataka, INDIA.
    • Guest faculty for Bangalore and Vishveshvarai Technological Univesity, Karnataka, India.

Prof. P. VENKATARAM, Professor, PET Unit., Electrical Communication Engg. Dept., 
Indian Institute of Science, Bangalore- 560 012. INDIA
Phone:    (+91)-80-360 0855 or 309 2747 (office), Fax: (+91)-80-360 0991 
Email:    pallapa@ece.iisc.ernet.in
Home page:    http://pet.ece.iisc.ernet.in/pallapa/ 

Prof. VEDAVATHI, Professor, Electrical Communication Engineering Dept
Indian Institute of Science, Bangalore- 560 012. INDIA
Phone:    (+91) 80 3092281 or 309 2853, Fax: (+91) 80 334 7991 or 334 1683
Email:    veda@ece.iisc.ernet.in
Home page:    http://ece.iisc.ernet.in/~veda/T_S_Vedavathy.html

Dr. K. ALAGARSAMY (ALEX),  Asst. Professor, Computer science dept., 
University of Northern British Columbia, Prince George, B.C., Canada V@N 4Z9
Phone:                                          (250) 960-5548, Fax: (250) 960-5545.
E-mail:                                          alagarsk@unbc.ca
Home page:                                   http://www.unbc.ca

Dr. A. N. SHANTARAJAPPA, Professor, Mathematics Dept., Jawaharlal Nehru National College of Engg
Shimoga- 577 201, Karnataka, INDIA

Phone:    Office: (+91)-8182-70450 ext: 250, 
Home: (+91)-8182-21478,   
Fax:     (+91)-8182-8182-22450
Home page:    http://education.vsnl.com/jnnce/deptscie.html