Access Restriction

Author Musilek, P. ♦ Kromer, P. ♦ Barton, T.
Sponsorship IEEE Comput. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Wireless sensor networks ♦ Energy consumption ♦ environmental monitoring ♦ entropy ♦ Clustering algorithms ♦ wireless sensor network ♦ energy efficiency ♦ Approximation algorithms ♦ Entropy ♦ clustering ♦ Complexity theory ♦ Monitoring
Abstract Environmental wireless sensor networks are usually composed of a large group of cooperating wireless sensor nodes spread over an area of interest. They often operate in remote locations and thus must be designed for energy-efficiency and reliability. At the same time, their deployment and operational characteristics must correspond to the spatial distribution of the phenomena of interest. There are a number of approaches that attempt to resolve this trade-off between energy consumption and quality of collected data. Most of them concentrate directly on energy efficiency and communication aspects of network operation. In this contribution, we propose a new method that uses data quality as the primary goal of network optimization. Based on the concept of data entropy, it develops a hierarchical heterogeneous network where individual nodes sample the measured quantities according to the potential information gain. This can be used to save energy by lowering sampling rates of nodes at location with low variability of monitored variables or high correlation with other nodes.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada (Musilek, P.; Barton, T.) || Dept. of Comput. Sci., VSB-TU Ostrava, Ostrava, Czech Republic (Kromer, P.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-06
Publisher Place Singapore
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467396189
Size (in Bytes) 155.98 kB
Page Count 2
Starting Page 231
Ending Page 232

Source: IEEE Xplore Digital Library