Reducing the data transmission in WSNs using time series prediction model

SK Soni, N Chand, DP Singh - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) are used for continuously monitoring some physical
phenomenon like temperature, humidity etc over a large geographical area. But the limited …

Energy conservation through data prediction in wireless sensor networks

G Krishna, SK Singh, JP Singh… - Proceedings of 3rd …, 2018 - papers.ssrn.com
Energy conservation is one of the main issue in wireless sensor networks (WSNs) which
needs to be minimize. In WSNs, the sensor nodes have generally limited supply of energy …

Comparison of different data prediction methods for wireless sensor networks

B Risteska Stojkoska, K Mahoski - 2013 - repository.ukim.mk
Different data reduction strategies have been developed in order to reduce the energy
consumption in wireless sensor networks (WSN). Most of them reduce the amount of sent …

Reducing the energy budget in WSN using time series models

F Engmann, FA Katsriku, JD Abdulai… - Wireless …, 2020 - Wiley Online Library
Energy conservation is critical in the design of wireless sensor networks since it determines
its lifetime. Reducing the frequency of transmission is one way of reducing the cost, but it …

The implementation of an adaptive data reduction technique for wireless sensor networks

CJ Debono, NP Borg - 2008 IEEE International Symposium on …, 2008 - ieeexplore.ieee.org
Wireless sensor networks (WSN) have gained significant attention due to their ability to
monitor physical phenomena within a wide range of applications. These networks are …

Data reduction using incremental Naive Bayes Prediction (INBP) in WSN

PD Ganjewar, S Barani, SJ Wagh - … international conference on …, 2015 - ieeexplore.ieee.org
A Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensor
nodes for monitoring environmental conditions. Energy saving by data reduction in WSN is …

Improving lifetime in wireless sensor networks using neural data prediction

S Aram, L Mesin, E Pasero - 2014 World Symposium on …, 2014 - ieeexplore.ieee.org
The acceptance of wireless sensor networks (WSN) has increased greatly due to their
comprehensive capabilities. Since WSNs are generally battery-powered networks, reducing …

A review of current prediction techniques for extending the lifetime of wireless sensor networks

WB Nedham, AKM Al-Qurabat - International Journal of …, 2023 - inderscienceonline.com
The possibility for broad usage of Wireless Sensor Networks (WSNs) in many various
sectors, such as environmental monitoring, security, home automation and many others, has …

An application-specific forecasting algorithm for extending wsn lifetime

FA Aderohunmu, G Paci, D Brunelli… - … computing in sensor …, 2013 - ieeexplore.ieee.org
Data reduction strategy is one of the schemes employed to extend network lifetime. In this
paper we present an implementation of a light-weight forecasting algorithm for sensed data …

[PDF][PDF] An Efficient Approach for Representing and Sending Data in Wireless Sensor Networks.

M Hammad, M Bsoul, M Hammad, M Al-Hawawreh - J. Commun., 2019 - jocm.us
Wireless Sensor Networks (WSNs) became a major impact in terms of remote surveillance
and data collection process. Limited power supply for a sensor node is one of the most …