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International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 50
`
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 ICACIEM099 eAID ICACIEM.2017.099
Dynamic Routing in Wireless Sensor Networks Using
Reliable Attribute Aided Data Aggregation
R Sridevi1
, P Indhumathi2
, T Dhurkka3
, R Sandhiya4
, P Ramya5
1,2,3,4
IV Year Students, 5
Associate Professor, Dept. of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India
Abstract: The vital issue in Wireless Sensor Networks (WSNs) is energy utilization. Data aggregation is a main method to conserve energy in WSN.
It also minimizes the number of transmission and to save energy. Prior work based on static routing protocols which cannot dynamically forward packets
according to network state or packet types. To make data aggregation more efficient packet attribute concept is introduced. Then propose the technique
attribute aware data aggregation consisting of packet driven timing algorithm and a special dynamic routing protocol. A potential based dynamic
routing is based on the concept of potential in physics and pheromone in ant colony which is elaborated to support an ADA strategy.
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 ICACIEM100 eAID ICACIEM.2017.100
Optimization Technique for Mobile Applications Using
Ranking Algorithm
Vithya Balasubramani1
, G Padmapriya2
1
II Year Students, 2
Professor & Head, Dept. of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India
Abstract: Mobile applications are software developed for use on mobile devices and made available through app stores. App stores are highly
competitive markets where developers need to cater to a large number of users spanning multiple countries. This work hypothesizes that there exist
country differences in mobile app user behaviour and conducts one of the largest surveys to date of app users across the world, in order to identify the
precise nature of those differences .And the country wise fraud detection in the mobile app is detected using ranking, rating, review of an app and the
fraud in the mobile app is done by the fraudulent with the help of both farms and the main characteristics of fraud app duplication of data, gathering
information without user knowledge and app ranking algorithm is used to detect Fraud in the mobile applications.
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 Β© Reserved by Association of Scientists, Developers and Faculties [www.ASDF.international]

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ICACIEM 2017 Conference Papers

  • 1. International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 50 ` 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 ICACIEM099 eAID ICACIEM.2017.099 Dynamic Routing in Wireless Sensor Networks Using Reliable Attribute Aided Data Aggregation R Sridevi1 , P Indhumathi2 , T Dhurkka3 , R Sandhiya4 , P Ramya5 1,2,3,4 IV Year Students, 5 Associate Professor, Dept. of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India Abstract: The vital issue in Wireless Sensor Networks (WSNs) is energy utilization. Data aggregation is a main method to conserve energy in WSN. It also minimizes the number of transmission and to save energy. Prior work based on static routing protocols which cannot dynamically forward packets according to network state or packet types. To make data aggregation more efficient packet attribute concept is introduced. Then propose the technique attribute aware data aggregation consisting of packet driven timing algorithm and a special dynamic routing protocol. A potential based dynamic routing is based on the concept of potential in physics and pheromone in ant colony which is elaborated to support an ADA strategy. 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 ICACIEM100 eAID ICACIEM.2017.100 Optimization Technique for Mobile Applications Using Ranking Algorithm Vithya Balasubramani1 , G Padmapriya2 1 II Year Students, 2 Professor & Head, Dept. of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India Abstract: Mobile applications are software developed for use on mobile devices and made available through app stores. App stores are highly competitive markets where developers need to cater to a large number of users spanning multiple countries. This work hypothesizes that there exist country differences in mobile app user behaviour and conducts one of the largest surveys to date of app users across the world, in order to identify the precise nature of those differences .And the country wise fraud detection in the mobile app is detected using ranking, rating, review of an app and the fraud in the mobile app is done by the fraudulent with the help of both farms and the main characteristics of fraud app duplication of data, gathering information without user knowledge and app ranking algorithm is used to detect Fraud in the mobile applications. 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 Β© Reserved by Association of Scientists, Developers and Faculties [www.ASDF.international]