Open AccessImproving Rare Events Detection in WSN through Cluster-Based Power Control Mechanism
Author(s) -
Zakia Jellali,
Leı̈la Najjar Atallah,
Sofiane Cherif
Publication year - 2016
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2016/8162580
Subject(s) - computer science , wireless sensor network , compressed sensing , coherence (philosophical gambling strategy) , constraint (computer aided design) , power (physics) , rare events , reduction (mathematics) , power control , real time computing , power consumption , cluster (spacecraft) , distributed computing , data mining , computer network , algorithm , mechanical engineering , statistics , physics , geometry , mathematics , quantum mechanics , engineering
Rare events detection is one of the main applications in Wireless Sensor Networks (WSN) and is currently a central concern of a vast literature. Compressed Sensing (CS) theory has been proved to be quite adapted to this objective. Although this is not the first work on applying CS to sparse events detection in WSN, it is the first to highly justify the validity of the targets detection and counting problem formulation. In order to enhance the CS recovery capacity in WSN, this work considers an approach based on a coherence reduction of the sensing matrix premised on the transmitted power control (PC). Simulation results prove that, under the constraint of equal power consumption, the detection and counting performance is improved when the proposed power control scheme is employed compared to the case without PC.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom