Temporal Data Compression in Wireless Sensor Network using LZW
Journal Title: International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com - Year 2012, Vol 12, Issue 0
Abstract
Wireless networks find maximum usage in present scenario due to less overhead of establishment. But these networks have constrained environment. Wireless networks have limited processing capability, memory space and battery power. These networks also have routing overhead involved with normal activities. The power required for transferring data is much more than processing the data. Therefore, data compression techniques can be used to save the power. Also it is good in reducing load on intermediately nodes. In this paper we have proposed a LZW data compression algorithm.
Authors and Affiliations
Anubha Barak , Preeti Gulia
SWOT Analysis of Foreign Direct Investment on Indian Retail Industry
The requirement of space is one of the biggest demands, so the real estate has also grown over the last years. In the years to come Indian economy will also see the real estate sector climbing the steps of organized reta...
STRENGTH DETERMINATION OF ALUMINIUM AT DIFFERENT TEMPRATURES
The necking of specimen is specifically related to the decrease in cross section when specimen is subjected to tensile strength greater than ultimate tensile strength (UTS). The strain distribution no longer hold uniform...
BLUETOOTH SECURITY–SECURE DATA TRANSFER OVER BLUETOOTH
This paper describes the mechanism of Bluetooth authentication. In Bluetooth When two units want to communicate they need to be paired to each other. In the pairing process units are exchanging keys and authenticate each...
Distributed Computing: An Emerging Paradigm for New Technologies
Terms such as ‘Distributed Computing’ have gained a lot of attention, as they are used to describe emerging paradigms for the management of information and computing resources. Distributed computing is that type of compu...
Auction Oriented Approach for Resource Management in Grid Computing
Grid computing, emerging as a new paradigm for next-generation computing, enables the sharing, selection, and aggregation of geographically distributed heterogeneous resources for solving large-scale problems in science...