Smart Agent Based Data Aggregation for Smart City

Md. Shirajum Munir, Md. Golam Rabiul Alam, Choong Seon Hong Department of Computer Science and Engineering, Kyung Hee University, South Korea. {munir, robi, cshong}@khu.ac.kr Abstract Smart City is the vision of future modern intelligent technology toward the sustainable development of green technology and social development. Smart services e.g. smart transportation, smart health, smart home, smart grid, smart retail, smart security and many more service request IoT based applications are the key enablers of Smart city, which ensures the quality life and well-beings. To enable those services i.e. smart traffic system or smart security system the application requires to gather data from numerous IoT nodes. In such case, it becomes more challenging for huge network traffic and centralized network AP in Smart city. Therefore, in this research we have focused on solving this problem by introducing Smart agent in data aggregation from distributed dense network of Smart city to fulfill service requests from service providers and smart citizens. To be specific, here, we have modeled a peer to peer fully distributed system by using distributed hash table Chord protocol and algorithm for IoT network and also designed Smart agent based path searching algorithm for crowdsourcing. Finally, we have simulated the result of the proposed Smart agent based data aggregation model and we have found higher performance gain of the proposed approach in respect to service fulfillment time and convergence.