Scalable Peer-to-Peer Fog Computing Integrated to a Fast-Searching Distributed Blockchain System

Abstract

Internet of Things (IoT) is becoming a promising area to support communication of all type of devices. Blockchain aids to ensure higher security in this field, but the increase in ubiquitous connectivity leads to increase load and hence it requires a perfect search for the nodes. This paper addresses the issue by the design of a three tier P2p fog-IoT architecture using distributed blockchain. The tier-1 employs an authenticator responsible to authenticate IoT nodes with identity, IP address and physical unclonable function (PUF). To balance IoT nodes request, super peers are dynamically selected from multi-criteria ranking based optimal points (MC-RBOP). Further the requests are forwarded to blockchain present in tier-3. In tier-3 the Master node performs storage and searching. Due to the possibility of redundant data storage, Jaro-Winkler measures a similarity in the data before storing it. An Adaptive Chord with fuzzy neural (AC-FNN) is incorporated to search the lightweight U-QUARK algorithm-based hash key-values in the directory. The design of fog-IoT with new chord algorithm is implemented in network simulator-3 and the results are evaluated in terms of latency, response time, blockchain size and network usage.