A survey about prediction-based data reduction in wireless sensor networks

GM Dias, B Bellalta, S Oechsner - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
One of the main characteristics of Wireless Sensor Networks (WSNs) is the constrained
energy resources of their wireless sensor nodes. Although this issue has been addressed in …

Energy efficient information collection with the ARIMA model in wireless sensor networks

C Liu, K Wu, M Tsao - GLOBECOM'05. IEEE Global …, 2005 - ieeexplore.ieee.org
This paper is aimed at saving energy in information collection in wireless sensor networks.
Our method is to keep sensor nodes from transmitting redundant information, which can be …

Minimizing energy consumptions in wireless sensor networks via two-modal transmission

Y Liang, W Peng - ACM SIGCOMM Computer Communication Review, 2010 - dl.acm.org
We present a sophisticated framework to systematically explore the temporal correlation in
environmental monitoring wireless sensor networks. The presented framework optimizes …

Investigations on power-aware solutions in low power sensor networks

SS Vidhya, S Mathi - Inventive Communication and Computational …, 2022 - Springer
Power management is a very vast topic and the solution spans around hardware and
software approaches. The power efficiency of IoT low-power devices becomes an important …

Maxoutprobe: An algorithm for increasing the size of partially observed networks

S Soundarajan, T Eliassi-Rad, B Gallagher… - arXiv preprint arXiv …, 2015 - arxiv.org
Networked representations of real-world phenomena are often partially observed, which
lead to incomplete networks. Analysis of such incomplete networks can lead to skewed …

Delay-constrained optimal data aggregation in hierarchical wireless sensor networks

K Wu, C Liu, Y Xiao, J Liu - Mobile Networks and Applications, 2009 - Springer
A lot of realistic applications with wireless sensor networks adopt hierarchical architecture in
which sensor nodes are grouped into clusters, with each cluster relying on a gateway node …

Adaptation of sampling in target tracking sensor networks

M Rahimi, R Safabakhsh - 2010 IEEE International Conference …, 2010 - ieeexplore.ieee.org
Sampling is one of the most common and repeated tasks in a target tracking sensor network.
However, tuning the sampling rate parameter can be a challenging issue considering all the …

[PDF][PDF] MaxOutProbe: An Algorithm for Increasing the Size of Partially Observed Networks.

Networked representations of real-world phenomena are often partially observed, which
lead to incomplete networks. Analysis of such incomplete networks can lead to skewed …

[PDF][PDF] Optimization of Adaptive Method for Data Reduction in Wireless Sensor Networks

AS Ibrahim, M Abubakar, U Iliyasu - researchgate.net
The term 'Wireless' is a cordless technology where the nodes interact or exchange
information with the sink node without wired intervention to exchange or transmit any …

Rutgers University Subcontract B611610 Final Report

S Soundarajan, T Eliassi-Rad, B Gallagher, A Pinar - 2015 - osti.gov
Given an incomplete (ie, partially-observed) network, which nodes should we actively probe
in order to achieve the highest accuracy for a given network feature? For example, consider …