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Julian, Anitha
- Improving Network Lifetime using Mobile Element
Authors
1 Pervasive Computing Technologies, Velammal Engineering College, Chennai, IN
Source
Networking and Communication Engineering, Vol 4, No 9 (2012), Pagination: 584-587Abstract
In this paper, a simple yet efficient method to improve the network lifetime is designed with the help of Mobile Element (ME). The MEs act as mechanical carriers which move around in the sensing field, collecting the data from the sensors and transmitting them to the BS. In a relatively larger network, a single mobile element might not serve the purpose. Rendezvous Points (RP) can be used in the network, to enhance the performance of the WSN. Besides randomness, the generated routes are also highly dispersive and energy efficient, making them quite capable of circumventing black holes. We analytically investigate the security and energy performance of the proposed schemes. We also formulate an optimization problem to minimize the end to end energy consumption under given security constraints. Extensive simulations are conducted to verify the validity of our mechanisms.Keywords
Lifetime, Mobile Element, Network.
- An Embedded Digital Image Processing System using Blackfin 548 DSP
Authors
1 Department of TIFAC-CORE in Pervasive Computing, Velammal Engineering College, Chennai, IN
Source
Digital Image Processing, Vol 4, No 13 (2012), Pagination: 690-693Abstract
The Digital Image Processing technology has got great attention and considerable development in recent years. However the present image processing systems are not satisfactory with respect to real time applications and constraints. The traditional image processing techniques rely on large quantities of electronic computing devices, which results in enormous maintenance, transportation and other expenditures. These systems are based on PC and are therefore too bulky to have portability; the desk-top operating system does not have real-time character. Embedded platform is excellent due to its features of smaller size, low-cost, low power consumption and low maintenance. Therefore, developing an image processing system on the embedded platform can reduce the production maintenance costs, improve the reliability and controllability. In this regard, this project proposes an Image Processing System based on embedded platform using BLACKFIN 548 DSP processor. This system is applied to the automation of crayon pencil manufacturing and testing process.