International Conference on Advances & Challenges in Interdisciplinary Engineering and Management
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International Conference on Advances & Challenges in Interdisciplinary Engineering and Management 2017 [ICACIEM 2017]
ISBN Website Received Article ID
978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM099
VOL eMail Accepted eAID
01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.099
Dynamic Routing in Wireless Sensor Networks Using Reliable Attribute Aided Data Aggregation 1,2,3,4
R Sridevi1, P Indhumathi2, T Dhurkka3, R Sandhiya4, P Ramya5 IV Year Students, Associate Professor, Dept. of CSE, Vidyaa Vikas College of Engineering and Technology, Tiruchengode, India 5
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 Website Received Article ID
978-81-933235-1-9 icaciem.org 10 – January – 2017 ICACIEM100
VOL eMail Accepted eAID
01 icaciem@asdf.res.in 28 - January – 2017 ICACIEM.2017.100
Optimization Technique for Mobile Applications Using Ranking Algorithm 1
Vithya Balasubramani1, G Padmapriya2 II Year Students, 2Professor & 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.
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