The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
A class of mobile motion prediction algorithms for wireless mobile computing and communication
Mobile Networks and Applications - Special issue: routing in mobile communications networks
Mobile Cellular Telecommunications: Analog and Digital Systems
Mobile Cellular Telecommunications: Analog and Digital Systems
Denial of Sleeping: Performance Analysis and Counteracting Strategy
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
On Modeling Counteraction against TCP SYN Flooding
Information Networking. Towards Ubiquitous Networking and Services
On modelling reliability in RED gateways
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Potential intrusions in wireless networks
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Protecting wireless sensor networks from energy exhausting attacks
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
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Predicting the number of calls in a cell in average must be an important issue in mobile computing. It is quite useful in performance modeling and usually assumed as a random Poisson value. For effective management of cellular networks, the average number of calls should be carefully traced and the unexpected changes in the numbers need to be promptly detected. In this paper, we propose an efficient algorithm detecting those changes in the behavior of users based on the technique proposed for point-of-change problem just in terms of the number of call arrivals. Computer simulation reveals the proposed method effectively detect the discord, and the developed model is very accurate that the difference is as small as mostly less than 1%.