NDLI: Neural Network Based Short Term Forecasting Engine to Optimize Energy and Big Data Storage Resources of Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Prasad, Y.R.V. Pachamuthu, R.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng., Indian Inst. of Technol. Hyderabad, Hyderabad, India (Prasad, Y.R.V.; Pachamuthu, R.)
Abstract	Energy efficient wireless networks is the primary research goal for evolving billion device applications like IoT, smart grids and CPS. Monitoring of multiple physical events using sensors and data collection at central gateways is the general architecture followed by most commercial, residential and test bed implementations. Most of the events monitored at regular intervals are largely redundant/minor variations leading to large wastage of data storage resources in Big data servers and communication energy at relay and sensor nodes. In this paper a novel architecture of Neural Network (NN) based day ahead steady state forecasting engine is implemented at the gateway using historical database. Gateway generates an optimal transmit schedules based on NN outputs thereby reducing the redundant sensor data when there is minor variations in the respective predicted sensor estimates. It is observed that NN based load forecasting for power monitoring system predicts load with less than 3% Mean Absolute Percentage Error (MAPE). Gateway forward transmit schedules to all power sensing nodes day ahead to reduce sensor and relay nodes communication energy. Mat lab based simulation for evaluating the benefits of proposed model for extending the wireless network life time is developed and confirmed with an emulation scenario of our testbed. Network life time is improved by 43% from the observed results using proposed model.
Starting Page	511
Ending Page	516
File Size	619891
Page Count	6
File Format	PDF
ISSN	07303157
e-ISBN	9781467365642
DOI	10.1109/COMPSAC.2015.264
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Load modeling Artificial neural networks Mathematical model Data models Wireless sensor networks Monitoring Big Data Clustered multi-hop network Short term load forecasting Power monitoring Neural Network model
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Grouping model application on artificial neural networks for short-term load forecasting

Electricity Short Term Load Forecasting Using Elman Recurrent Neural Network

Study of artificial neural network based short term load forecasting

Short Term Load Forecasting Using Probabilistic Neural Network Based Algorithm

A neural network based short term load forecasting model

Adaptive short-term load forecasting using artificial neural networks

Electricity forecasting for small scale power system using artificial neural network

Multi-Stage Artificial Neural Network Short-term Load Forecasting Engine with Front-End Weather Forecast

Research on the Short-Term Electric Load Forecasting Based on Wavelet Neural Network

Neural Network Based Short Term Forecasting Engine to Optimize Energy and Big Data Storage Resources of Wireless Sensor Networks

Similar Documents

Grouping model application on artificial neural networks for short-term load forecasting

Electricity Short Term Load Forecasting Using Elman Recurrent Neural Network

Study of artificial neural network based short term load forecasting

Short Term Load Forecasting Using Probabilistic Neural Network Based Algorithm

A neural network based short term load forecasting model

Adaptive short-term load forecasting using artificial neural networks

Electricity forecasting for small scale power system using artificial neural network

Multi-Stage Artificial Neural Network Short-term Load Forecasting Engine with Front-End Weather Forecast

Research on the Short-Term Electric Load Forecasting Based on Wavelet Neural Network

Neural Network Based Short Term Forecasting Engine to Optimize Energy and Big Data Storage Resources of Wireless Sensor Networks