Abstract
We designed and implemented the ECA (Event Condition Action) based Multicast Ad hoc On-demand Distance Vector (ECA-MAODV) routing protocol for the ubiquitous network. The ECA-MADOV protocol plays a predominant role in selecting an efficient route for the creation of an efficient multicast tree and selecting a unique group leader in the multicast group to share and exchange information among group members in an efficient way using a Computational Intelligence (CI) approach. The vague set is a CI that is an enhanced fragment of a fuzzy set. Each element in the Fuzzy set is mapped to [0,1], reflecting its membership grade. We estimated ECA-MAODV’s time and spatial complexity. Besides, we assessed ECA-MAODV performance and compared it with conventional routing protocols such as MAODV and AODV. Finally, simulation results indicate that the ECA scheme proposed is both effective and powerful.
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