Clone detection using fuzzy logic in static wireless sensor network

Abstract

The wireless sensor networks have operated in various applications in which sensor nodes are placed in hostile and open environment. The attacker can originate different types of attacks in the open environment. The clone node attack is one of the gravest attacks on WSN since clone node is deliberated as legitimate node and clone node can initiate different attacks within the network. The paper proposes a Fuzzy-Logic-based Clone Detection (FULCD) scheme to detect replica nodes in the static wireless sensor network. The proposed scheme, FULCD, has three segments. The proposed method reduces end to end delay, packet loss, and energy consumption and increases PDR as shown by simulation results. FULCD has been compared with existing methods, i.e. ERCD, RED, LSM and RAWL. The proposed method FULCD diminishes energy consumption by 45% and improves the clone detection rate by 46% compared to ERCD, RED, LSM and RAWL.