arrow
Return

Two level data centric aggregation scheme for wireless sensor networks

delete2023-09-08
delete1
PRE
AI
T
Tahira Batool
A
Atiq Ahmed *
D
Dominique Gaïti
DOI:10.1007/s12243-023-00984-5delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Wireless sensor networks (WSNs) sense and collect information from a desired phenomenon with the help of sensor nodes that have limited computational power, battery, and memory. Several data aggregation approaches are proposed to make the sensor networks energy-efficient, increasing the network's lifetime by controlling data redundancy at aggregator nodes. Redundant data is suppressed before transmission to the sink. In this work, our aim is to enhance the network lifetime by efficiently utilizing the network's energy through controlled data redundancy and minimizing data transmission to the sink. Data aggregation occurs in two steps: firstly, within clusters where the cluster-head serves as the aggregation point, and secondly, at a central point in the network where the gateway node acts as the aggregation point. Experiments demonstrate that our proposed approach yields better results compared to a benchmark clustering protocol in terms of network stability, the number of data packets transferred to the destination, energy dissipation of nodes, and overall network lifetime.
Keywords:
Wireless sensor networks
Data aggregation
Network lifetime
Energy efficiency

Journal

Annals of Telecommunications cover
Annals of Telecommunications
IF:
2.2
Papers:
89
Citations:
993

Organization

U
universite de technologie de troyes
Scholars:
937
Papers: 925
Citations: 0
Cited Papers

Cited Papers

Cluster-Based Maximum Consensus Time Synchronization for Industrial Wireless Sensor Networks
errSENSORS
IF3.5
err2017-01-13
err31
errOAAI
errWang, Zhaowei; Zeng, Peng; Zhou, Mingtuo; Li, Dong; Wang, Jintao
errShare
errSave
Environmental Impact of Subsidy Concepts to Stimulate Car Sales in Germany
err
IF0
err2020-11-10
err0
errOAAI
errMalte Scharf; Ludger Heide; Alexander Grahle; Anne Syré; Dietmar Göhlich
errShare
errSave
Hierarchical Data Aggregation Using Compressive Sensing (HDACS) in WSNs
err2015-02-17
err134
PREAI
errXu, Xi; Ansari, Rashid; Khokhar, Ashfaq; Vasilakos, Athanasios V.
errShare
errSave
err2002-01-01
err0
PREAI
errThomas Brinkhoff
errShare
errSave
researcher View more