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International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 6
International Conference on Advances & Challenges in Interdisciplinary Engineering and
Management 2017 [ICACIEM 2017]
ISBN 978-81-933235-1-9 VOL 01
Website icaciem.org eMail icaciem@asdf.res.in
Received 10 – January – 2017 Accepted 28 - January – 2017
Article ID ICACIEM011 eAID ICACIEM.2017.011
Breath an Adaptive Protocol for Industrial Control
Applications Using Wireless Sensor Networks
M Saranya1
1
Assistant Professor, Dept. of ECE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India
Abstract: An energy-efficient, reliable and timely data transmission is essential for Wireless Sensor Networks (WSNs) employed in scenarios where
plant information must be available for control applications. The protocol is based on randomized routing, medium access control, and duty-cycling
jointly optimized for energy efficiency. The design approach relies on a constrained optimization problem, whereby the objective function is the energy
consumption and the constraints are the packet reliability and delay. The optimal working point of the protocol is achieved by a simple algorithm,
which adapts to traffic variations and channel conditions with negligible overhead. The protocol has been implemented and experimentally evaluated on
a test bed with off-the-shelf wireless sensor nodes, and it has been compared with a standard IEEE 802.15.4 solution. Analytical and experimental
results show that Breath is tuneable and meets reliability and delay requirements. Breath exhibits a good distribution of the working load, thus ensuring
a long lifetime of the network. Therefore, Breath is a good candidate for efficient, reliable, and timely data gathering for control applications.
ISBN 978-81-933235-1-9 VOL 01
Website icaciem.org eMail icaciem@asdf.res.in
Received 10 – January – 2017 Accepted 28 - January – 2017
Article ID ICACIEM012 eAID ICACIEM.2017.012
Detection and Avoiding Addiction Using Embedded
Systems
S Kavitha1
1
Assistant Professor, Department of ECE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India
Abstract: About 80% of the people in the world are addicted to one or more addictive substances. Addiction is one of the chronic disorders that are
characterized by the repeated use of substances or behaviours despite clear evidence of morbidity secondary to such use. It is a combination of genetic,
biological/pharmacological and social factors. Example: Over eating, Gambling, Alcohol drinking, Taking Narcotic Drugs and Certain Mannerisms.
In this paper we are going to see about a design of device that can entirely avoid addiction. The device Addiction Avoider is based upon the principle of
controlling “Brain waves”.
This paper is prepared exclusively for International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM
2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr K Samidurai and Editors
Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for
personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this
notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the
owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution.
2017 © Reserved by Association of Scientists, Developers and Faculties [www.ASDF.international]

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Breath an Adaptive Protocol for Industrial Control Applications Using Wireless Sensor Networks

  • 1. International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 6 International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017] ISBN 978-81-933235-1-9 VOL 01 Website icaciem.org eMail icaciem@asdf.res.in Received 10 – January – 2017 Accepted 28 - January – 2017 Article ID ICACIEM011 eAID ICACIEM.2017.011 Breath an Adaptive Protocol for Industrial Control Applications Using Wireless Sensor Networks M Saranya1 1 Assistant Professor, Dept. of ECE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India Abstract: An energy-efficient, reliable and timely data transmission is essential for Wireless Sensor Networks (WSNs) employed in scenarios where plant information must be available for control applications. The protocol is based on randomized routing, medium access control, and duty-cycling jointly optimized for energy efficiency. The design approach relies on a constrained optimization problem, whereby the objective function is the energy consumption and the constraints are the packet reliability and delay. The optimal working point of the protocol is achieved by a simple algorithm, which adapts to traffic variations and channel conditions with negligible overhead. The protocol has been implemented and experimentally evaluated on a test bed with off-the-shelf wireless sensor nodes, and it has been compared with a standard IEEE 802.15.4 solution. Analytical and experimental results show that Breath is tuneable and meets reliability and delay requirements. Breath exhibits a good distribution of the working load, thus ensuring a long lifetime of the network. Therefore, Breath is a good candidate for efficient, reliable, and timely data gathering for control applications. ISBN 978-81-933235-1-9 VOL 01 Website icaciem.org eMail icaciem@asdf.res.in Received 10 – January – 2017 Accepted 28 - January – 2017 Article ID ICACIEM012 eAID ICACIEM.2017.012 Detection and Avoiding Addiction Using Embedded Systems S Kavitha1 1 Assistant Professor, Department of ECE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India Abstract: About 80% of the people in the world are addicted to one or more addictive substances. Addiction is one of the chronic disorders that are characterized by the repeated use of substances or behaviours despite clear evidence of morbidity secondary to such use. It is a combination of genetic, biological/pharmacological and social factors. Example: Over eating, Gambling, Alcohol drinking, Taking Narcotic Drugs and Certain Mannerisms. In this paper we are going to see about a design of device that can entirely avoid addiction. The device Addiction Avoider is based upon the principle of controlling “Brain waves”. This paper is prepared exclusively for International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr K Samidurai and Editors Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution. 2017 © Reserved by Association of Scientists, Developers and Faculties [www.ASDF.international]