Random and Directed Walk-Based Top-  Queries in Wireless Sensor Networks

In wireless sensor networks, filter-based top-  query approaches are the state-of-the-art solutions and have been extensively researched in the literature, however, they are very sensitive to the network parameters, including the size of the network,...

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Main Authors: Jun-Song Fu, Yun Liu
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/6/12273
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spelling doaj-d52e4be7daca46a7b20ec5bafe9285b22020-11-24T23:40:56ZengMDPI AGSensors1424-82202015-05-01156122731229810.3390/s150612273s150612273Random and Directed Walk-Based Top-  Queries in Wireless Sensor NetworksJun-Song Fu0Yun Liu1School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, ChinaIn wireless sensor networks, filter-based top-  query approaches are the state-of-the-art solutions and have been extensively researched in the literature, however, they are very sensitive to the network parameters, including the size of the network, dynamics of the sensors’ readings and declines in the overall range of all the readings. In this work, a random walk-based top-  query approach called RWTQ and a directed walk-based top-  query approach called DWTQ are proposed. At the beginning of a top-  query, one or several tokens are sent to the specific node(s) in the network by the base station. Then, each token walks in the network independently to record and process the readings in a random or directed way. A strategy of choosing the “right” way in DWTQ is carefully designed for the token(s) to arrive at the high-value regions as soon as possible. When designing the walking strategy for DWTQ, the spatial correlations of the readings are also considered. Theoretical analysis and simulation results indicate that RWTQ and DWTQ both are very robust against these parameters discussed previously. In addition, DWTQ outperforms TAG, FILA and EXTOK in transmission cost, energy consumption and network lifetime.http://www.mdpi.com/1424-8220/15/6/12273wireless sensor networkstop-  queryrandom walkdirected walkenergy efficiency
collection DOAJ
language English
format Article
sources DOAJ
author Jun-Song Fu
Yun Liu
spellingShingle Jun-Song Fu
Yun Liu
Random and Directed Walk-Based Top-  Queries in Wireless Sensor Networks
Sensors
wireless sensor networks
top-  query
random walk
directed walk
energy efficiency
author_facet Jun-Song Fu
Yun Liu
author_sort Jun-Song Fu
title Random and Directed Walk-Based Top-  Queries in Wireless Sensor Networks
title_short Random and Directed Walk-Based Top-  Queries in Wireless Sensor Networks
title_full Random and Directed Walk-Based Top-  Queries in Wireless Sensor Networks
title_fullStr Random and Directed Walk-Based Top-  Queries in Wireless Sensor Networks
title_full_unstemmed Random and Directed Walk-Based Top-  Queries in Wireless Sensor Networks
title_sort random and directed walk-based top-  queries in wireless sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-05-01
description In wireless sensor networks, filter-based top-  query approaches are the state-of-the-art solutions and have been extensively researched in the literature, however, they are very sensitive to the network parameters, including the size of the network, dynamics of the sensors’ readings and declines in the overall range of all the readings. In this work, a random walk-based top-  query approach called RWTQ and a directed walk-based top-  query approach called DWTQ are proposed. At the beginning of a top-  query, one or several tokens are sent to the specific node(s) in the network by the base station. Then, each token walks in the network independently to record and process the readings in a random or directed way. A strategy of choosing the “right” way in DWTQ is carefully designed for the token(s) to arrive at the high-value regions as soon as possible. When designing the walking strategy for DWTQ, the spatial correlations of the readings are also considered. Theoretical analysis and simulation results indicate that RWTQ and DWTQ both are very robust against these parameters discussed previously. In addition, DWTQ outperforms TAG, FILA and EXTOK in transmission cost, energy consumption and network lifetime.
topic wireless sensor networks
top-  query
random walk
directed walk
energy efficiency
url http://www.mdpi.com/1424-8220/15/6/12273
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