NDLI: Energy-efficient predictive congestion control for wireless sensor networks

Content Provider	IET Digital Library
Author	Rajan, Annie Uthra V., Kasmir Raja S. Jeyasekar, Antony Lattanze, Anthony J.
Abstract	In recent years, wireless sensor networks have become an emerging technology in industries, environment monitoring and health care monitoring systems and so on. However, sensor node is a resource-constrained device in terms of memory, bandwidth and energy. These constraints impose congestion in the network, leading to large number of packet drops, low throughput and significant wastage of energy because of retransmission. This study presents a new approach for predicting congestion using probabilistic method, and controlling congestion using new rate control methods. The probabilistic approach used for the prediction of occurrence of congestion in a node is developed using data traffic and buffer occupancy. The rate control method uses rate allocation schemes, namely, rate reduction (RR), rate regulation (RRG) and split protocol (SP) to improve throughput and to reduce packet drops. In addition, an energy-efficient routing which finds the best forwarding node for data transmission is also proposed. Simulation results are compared with decentralised predictive congestion control (DPCC). The results show that the proposed method indeed reduces congestion and energy consumption, and improves the performance.
Starting Page	115
Ending Page	123
Page Count	9
ISSN	20436386
Volume Number	5
e-ISSN	20436394
Issue Number	Issue 3, Jun (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-wss/5/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-wss.2013.0101
Journal	IET Wireless Sensor Systems
Publisher Date	2015-05-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Buffer Occupancy Communication Network Design, Planning And Routing Control Application in Radio And Radar Data Traffic Data Transmission Decentralised Control Decentralised Predictive Congestion Control DPCC Energy Efficient Predictive Congestion Control Energy-efficient Routing Environment Monitoring Forwarding Node Health Care Monitoring System Multivariable Control System Optimal Control Packet Drops Predictive Control Probabilistic Approach Probabilistic Method Probability Protocol Rate Allocation Scheme Rate Control Method Rate Reduction Rate Regulation Resource Constrained Device RR RRG SP Split Protocol Statistics Telecommunication Congestion Control Telecommunication Network Routing Telecommunication Power Management Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering

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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
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