Open AccessEnergy efficient scheme to Jointly Optimize Coverage and Connectivity in Large Scale Wireless Sensor Network
Author(s) -
Deepak S. Sakkari,
T. G. Basavaraju
Publication year - 2015
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v5i3.pp454-463
Subject(s) - computer science , wireless sensor network , benchmark (surveying) , efficient energy use , scheme (mathematics) , computer network , wireless network , key distribution in wireless sensor networks , event (particle physics) , energy (signal processing) , quality of service , protocol (science) , wireless , distributed computing , real time computing , telecommunications , medicine , mathematical analysis , statistics , physics , mathematics , alternative medicine , geodesy , engineering , pathology , quantum mechanics , electrical engineering , geography
Efficient coverage and connectivity are two important factors that ensures better service quality especially during tracking targets or monitoring events in wireless sensor network. Although massive amount of studies has been carried out in the past to enhance coverage and connectivity issues, till date very few studies have witnessed a significant and standard outcomes that can opt further. Hence, this paper introduces a computationally efficient technique for jointly addressing both coverage and connectivity problems in large-scale wireless sensor network that ensures optimal network lifetime too. The proposed system has been empirically designed, and algorithms formulated to ensure energy efficient monitoring of event. The outcomes of the study are compared with standard energy efficient hierarchical protocol to benchmark the results.