Javascript must be enabled to continue!
Fully distributed sleeping compressive data gathering in wireless sensor networks
View through CrossRef
One of the most essential challenges of wireless sensor networks (WSNs) is the limited energy of their nodes. Compressive data gathering (CDG) and sleep scheduling are two practical solutions to extend the lifetime of such networks. However, applying these techniques incorrectly may lead to having significant reconstruction errors. This study proposes a fully distributed method to combine these two techniques in WSNs. An essential condition for CDG is the participation of all nodes in each round. The simulations along with the mathematical proof demonstrate that sleep scheduling can only be used during CDG when this condition holds. The proposed method considers this condition and therefore leads to an acceptable reconstruction error. Moreover, the proposed method is fully distributed in which message passing among the nodes for sleep scheduling is not required. The simulation results show that the proposed method improves the lifetime of the WSNs up to 2.2 times compared to non‐sleeping CDG with an equivalent reconstruction error.
Institution of Engineering and Technology (IET)
Title: Fully distributed sleeping compressive data gathering in wireless sensor networks
Description:
One of the most essential challenges of wireless sensor networks (WSNs) is the limited energy of their nodes.
Compressive data gathering (CDG) and sleep scheduling are two practical solutions to extend the lifetime of such networks.
However, applying these techniques incorrectly may lead to having significant reconstruction errors.
This study proposes a fully distributed method to combine these two techniques in WSNs.
An essential condition for CDG is the participation of all nodes in each round.
The simulations along with the mathematical proof demonstrate that sleep scheduling can only be used during CDG when this condition holds.
The proposed method considers this condition and therefore leads to an acceptable reconstruction error.
Moreover, the proposed method is fully distributed in which message passing among the nodes for sleep scheduling is not required.
The simulation results show that the proposed method improves the lifetime of the WSNs up to 2.
2 times compared to non‐sleeping CDG with an equivalent reconstruction error.
Related Results
Dynamic stochastic modeling for inertial sensors
Dynamic stochastic modeling for inertial sensors
Es ampliamente conocido que los modelos de error para sensores inerciales tienen dos componentes: El primero es un componente determinista que normalmente es calibrado por el fabri...
Use of Sleeping Medication and Quality of Life among Older Women who Report Sleeping Difficulty
Use of Sleeping Medication and Quality of Life among Older Women who Report Sleeping Difficulty
Objective: To estimate the proportion of older women who report sleeping difficulties and/or use sleeping medication; and to identify associated factors. Method: Cross sectional su...
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Energy efficiency has always been a hot issue in wireless sensor networks. A lot of energy-efficient algorithms have been proposed to reduce energy consumption in traditional wirel...
1064 Longitudinal Association Between Co-Sleeping and Sleep Anxiety in a 6-year Child Cohort Study
1064 Longitudinal Association Between Co-Sleeping and Sleep Anxiety in a 6-year Child Cohort Study
Abstract
Introduction
The impact of co-sleeping on children and parents has been insufficiently explored in longitudinal researc...
Routing Security in Wireless Sensor Networks
Routing Security in Wireless Sensor Networks
Since routing is a fundamental operation in all types of networks, ensuring routing security is a necessary requirement to guarantee the success of routing operation. Securing rout...
Cross-layer security solution for secure communication of sensorsin Wireless Sensor Networks
Cross-layer security solution for secure communication of sensorsin Wireless Sensor Networks
Safe path-finding is extremely necessary for multihop wireless systems such as Wireless Sensor Networks. Multihop wireless systems are more unprotected to safety outbreaks as ass...
Distributed Processing of Blind Source Separation
Distributed Processing of Blind Source Separation
<p>Communication is performed by transmitting signals through a medium. It is common that signals originating from different sources are mixed in the transport medium. The op...
Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products
Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products
The application of information and wireless technologies, multisensor and biosensor devices, as well as sensor networks based on them to control the parameters of technological pro...

