Open AccessClock Synchronization using Truncated Mean and Whale Optimization for Clustered Sensor Networks
Author(s) -
Karthik Soundarapandian,
A. Ashok Kumar
Publication year - 2021
Publication title -
international journal of computer networks and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.159
H-Index - 8
eISSN - 0975-2293
pISSN - 0974-9322
DOI - 10.5121/ijcnc.2021.13304
Subject(s) - computer science , synchronization (alternating current) , clock skew , wireless sensor network , skew , clock synchronization , overhead (engineering) , real time computing , node (physics) , time synchronization , computer network , telecommunications , channel (broadcasting) , structural engineering , clock signal , jitter , engineering , operating system
Clock synchronization is an important component in many distributed applications of wireless sensor networks (WSNs). The deprived method of clock offset and skew estimation causes inaccuracy, synchronization delay, and communication overhead in the protocols. Hence, this paper exploits two techniques of variation truncated mean (VTM) and whale optimization (WO) to enhance the synchronization metrics. Sensor nodes are grouped into several non-overlapped clusters. The cluster head collects the member nodes’ local time and computes the synchronization time using the truncated mean method. Nodes with a high variation in the timings compared to a preset value are truncated. The head node broadcasts the in which the whale optimization is aiming at each node to reduce the synchronization error. The intra and inter-cluster synchronizations are accomplished through the multihop message exchange approach. The theoretical analysis is validated, and the simulation outcomes show that the performance metrics in the proposed work are better than the conventional methods by achieving minimum error value.