Open AccessEnergy Conservation In Wsn Using Hyper Sphere Sensor Optimisation
Author(s) -
M Wyglinski Alexander,
AUTHOR_ID,
R. Shanthi,
AUTHOR_ID
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f9372.088619
Subject(s) - wireless sensor network , energy consumption , computer science , energy (signal processing) , energy conservation , real time computing , computer network , engineering , mathematics , electrical engineering , statistics
Due to minimum energy consumption and compact size, the Wireless Sensor Network (WSN) is widely used in almost all areas of research. In WSN, optimum coverage and lifetime of nodes are major challenges. In this paper, a Hyper Sphere Sensor Optimization is proposed to estimate the neighbourhood distance for placing the sensor nods in an optimal way over an effective location. Levy fight in flower pollination utilized for optimal energy location with hyper sphere localization. In first phase based on hyper sphere is used to location identification of sensor nodes. Based on neighbour hood distance energy consumption of sensor network nodes are reduced. The results show that the proposed method is effective than other methods in terms of reducing the reduced energy consumption.