AIRCC's International Journal of Computer Science and Information Technology

Eman Abdelfattah ¹, Asif Mohiuddin ¹

Affiliations
1 Department of Computer Science and Engineering, University of Bridgeport, Bridgeport, Connecticut, US

Abstract

In this paper, we are evaluating the performance of Huffman and Run Length Encoding compression algorithms with multimedia data. We have used different types of multimedia formats such as images and text. Extensive experimentation with different file sizes was used to compare both algorithms evaluating the compression ratio and compression time. Huffman algorithm showed consistent performance compared to Run Length encoding.

Keywords

Huffman Algorithm, Run Length Encoding Algorithm.

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Laiali Almazaydeh ¹, Eman Abdelfattah ¹, Manal Al- Bzoor ¹, Amer Al-Rahayfeh ¹

Affiliations
1 Computer Science and Engineering Department, University of Bridgeport, Bridgeport, CT 06601, US

Abstract

The efficiency of sensor networks strongly depends on the routing protocol used. In this paper, we analyze three different types of routing protocols: LEACH, PEGASIS, and VGA. Sensor networks are simulated using Sensoria simulator. Several simulations are conducted to analyze the performance of these protocols including the power consumption and overall network performance. The simulation results, using same limited sensing range value, show that PEGASIS outperforms all other protocols while LEACH has better performance than VGA. Furthermore, the paper investigates the power consumption for all protocols. On the average, VGA has the worst power consumption when the sensing range is limited, while VGA is the best when the sensing range is increased.

Keywords

Sensor Networks, Routing Protocol, LEACH, PEGASIS, VGA, Sensoria Simulator, Energy Consumption, Network Performance.

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