Context-Cognizant Service Discovery in Autonomous Decentralized Community System to Achieve Timeliness

Advancement of wireless communication and proliferation of mobile devices have realized location-aware services. But these services don´t take into consideration time aspect and user´s interests. Autonomous decentralized community system (ADCS) has been proposed which incorporates time-awareness and demand-oriented contexts along with location information to revamp one-dimensional LBS into three-dimensional situation-aware community pervasive services (CPS). In ADCS, the goal is not only to find the customized service but to find the most appropriate one according to context of proximity, with most reasonable price, in real-time considering dynamic situation. Unlike conventional N-ring strategy, we present novel idea of autonomous expansion of search ring using snail´s pace advancement of request message followed by swift boundary confining mechanism through reply message. Extensive simulation results are presented to corroborate proposed method for resource discovery in networks with peer to peer architecture, and discovery of most appropriate service in ADCS employing time-distance parameter.