Context Aware Middle Layer Architecture for Service Discovery in MANETs

Authors

  • S. Pariselvam Associate Professor (Research Scholar, Anna University), Department of CSE, Manakula Vinayagar Institute of Technology, Pondicherry, India.
  • R. M.S. Parvathi Professor, Department of CSE and Principal, Sengundhar College of Engineering, Tiruchengode, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2013.2.2.1723

Keywords:

AIDCS, PME, MAM, DYM, CONM

Abstract

In MANETs, Service discovery is considered to be a crucial entity since they don’t possess a centralized infrastructure for communication between nodes present in the environment. In addition, the level of security varies for each and every variety of services provided by through the network. Hence, there arises a necessity for deploying an efficient adaptive intelligent context-aware approach omnipresent in each and every node existing in the ad hoc scenario enabling reduce the complexity in providing the services to the network users. In this paper, we formulate an Adaptable Intelligent Discovery of context-aware services framework (AIDCS) along with the context modeling approach in order to introduce a middleware-level method that support user-centric semantic service discovery process for mobile users. In our approach, we modify the identifying relation among the different context by introducing a middleware-level approach that implements semantic languages to model the properties of interacting entities and environment. The Profile Matching Engine (PME) supports a matching algorithm that performs the matchmaking process between the offered and requested capacity in order to determine the degree of semantic compatibility between user/device and service profiles. This algorithm provides user with desired service features along with the flexibility of matching according to user’s preferences that provides the user with modified information on available services. The performances of AIDCS are studied with the help of evaluation parameters such as packet delivery ratio, throughput, control overhead, total overhead through ns-2 simulations by varying the number of compromised nodes. From the simulation results obtained, it is proved that the proposed mechanism performs well when compared to the other service discovery mechanisms available in the literature to a optimal margin.

References

] Suraci, Vincenzo, Silvano Mignanti, and Anna Aiuto, "Context-aware semantic service discovery," Mobile and Wireless Communications Summit, 2007. 16th IST. IEEE, 2007.

] Xiao, Hua, et al. "An approach for context-aware service discovery and recommendation," Web Services (ICWS), 2010 IEEE International Conference on. IEEE, 2010.

] Bormann, Frank, et al. "Towards context-aware service discovery: A case study for a new advice of charge service," 14th IST Mobile and Wireless Communications Summit, Dresden, 2005.

] Doulkeridis, Christos, Nikos Loutas, and Michalis Vazirgiannis, "A system architecture for context-aware service discovery," Electronic Notes in Theoretical Computer Science, Vol. 146, No.1, 2006, pp. 101-116.

] Karen Henricksen, et al. "Middleware for distributed context-aware systems," On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE. Springer Berlin Heidelberg, 2005, pp. 846-863.

] Aziz, Zeeshan, Chimay Anumba and Kincho Law, "Using contextawareness and web-services to enhance construction collaboration," Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montréal, Canada, 2006.

] Baldauf, Matthias, Schahram Dustdar and Florian Rosenberg, "A survey on context-aware systems," International Journal of Ad Hoc and Ubiquitous Computing, Vol. 2, No.4, 2007, pp. 263-277.

] Davidyuk, Oleg, et al. "Context-aware middleware for mobile multimedia applications," Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia. ACM, 2004.

] Devdatta Kulkarni and Anand Tripathi, "A framework for programming robust context-aware applications," Software Engineering, IEEE Transactions on, Vol. 36, No.2, 2010, pp. 184-197.

]Paolo Falcarin, et al,. "Context data management: an architectural framework for context-aware services," Service Oriented Computing and Applications, 2013, pp. 1-18.

]Lawrence M.Healey, “Logistic Regrssion : An Overview,” In Proceeding of COT 07 11,Vol.2, pp 30-37, March 2006. [12.]Zhong Ho Yu, “An introduction to computing and interpreting Cronbach coefficient alpha in SAS,” IEEE 2005

] Kyriakos Kritikos and Dimitris Plexousakis. "Requirements for QoSbased Web service description and discovery." Services Computing, IEEE Transactions on, Vol. 2, No.4, 2009, pp. 320-337.

] Kyriakos Kritikos and Dimitris Plexousakis, "Requirements for QoSbased Web service description and discovery," Services Computing, IEEE Transactions on, Vol. 2, No.4, 2009, pp. 320-337.

]Alessandra Toninelli, Antonio Corradi and Rebecca Montanari, "Semantic-based discovery to support mobile context-aware service access," Computer Communications, Vol. 31, No.5, 2008, pp. 935-949.

Downloads

Published

05-11-2013

How to Cite

Pariselvam, S., & Parvathi, R. M. (2013). Context Aware Middle Layer Architecture for Service Discovery in MANETs. Asian Journal of Computer Science and Technology, 2(2), 11–18. https://doi.org/10.51983/ajcst-2013.2.2.1723