Context Aware Middle Layer Architecture for Service Discovery in MANETs

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.