Type-2 fuzzy ontology-based multi-agents system for wireless sensor network

As Sensor Node (SN) has unique functionalities and properties which help to distinguish from traditional communication networks. From various latest scenarios, WSN characteristic are based on ontologies plays a vital role to sense, manage, integrated, analyzed, and exploited further for interactive and intelligent processing. Mainly in the paper, our target is to mitigate the Energy Efficiency, Data aggregation and Route discovery problems in current WSNs. Energy parameter is a major constraint that restricts network to be energy efficient. Overall network life is a key characteristic for evaluating the performance of routing protocols in Wireless Sensor Networks (WSNs). In according to it, proposes a Type-2 Fuzzy Ontology-Based Multi-Agent Systems (T2FOMAS) approach for enhancing the lifetime of the WSN. The agents communicate among themselves to assign Type-2 Fuzzy Membership Value (T2FMV) to Sensor Node (SN) (according to their remaining energy of SN) and store dynamic changes in Fuzzy Ontology for real-time WSN scenario. The motivation of this work is to utilize Type-2 Fuzzy Ontology with Multi-Agents for WSNs mitigate problems and provide energy efficient and shortest route from Sensor Node (SN) to Base Station (BS). Conclusively, it steps to make overall network system energy efficient.