Open AccessNetwork lifetime enhanced tri‐level clustering and routing protocol for monitoring of offshore wind farms
Author(s) -
Agarwal Deepshikha,
Kishor Nand
Publication year - 2014
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
eISSN - 2043-6394
pISSN - 2043-6386
DOI - 10.1049/iet-wss.2013.0050
Subject(s) - routing protocol , computer science , cluster analysis , wireless sensor network , computer network , offshore wind power , protocol (science) , hierarchical routing , zone routing protocol , node (physics) , path vector protocol , routing (electronic design automation) , real time computing , wind power , wireless routing protocol , engineering , medicine , electrical engineering , structural engineering , alternative medicine , pathology , machine learning
The reliable operation of offshore located wind farms is utmost important to ensure consistent power supply to grid. However, this depends on turbine‐generator availability. The health monitoring of wind system has proven as one of the most efficient methods to improve the availability of turbine‐generator set. This has emerged as one of the many possible applications of wireless sensor networks. This study discusses a novel algorithm for routing protocol of sensor data transmission to the base station. The algorithm is based on three‐level hierarchy, spatial distribution of sensor nodes and use of the current energy level of the node for clustering and information routing. This protocol utilises the best of all methods and provides better energy‐efficiency and a greater network lifetime compared with the low‐energy adaptive clustering hierarchy protocol protocol.