Power efficient scheme for self localization in wireless sensor networks

With the tremendous applications of the wireless sensor network, self-localization has become one of the challenging subject matter that has gained attention of many researchers in the field of wireless sensor network. Localization is the process of assigning or computing the location of the sensor nodes in a sensor network. As the sensor nodes are deployed randomly, we do not have any knowledge about their location in advance. As a result, this becomes very important that they localize themselves as manual deployment of sensor node is not feasible. Also, in WSN the main problem is the power as the sensor nodes have very limited power source. This paper provides a novel solution for localizing the sensor nodes using controlled power of the beacon nodes such that we will have longer life of the beacon nodes which plays a vital role in the process of localization as it is the only special nodes that has the information about its location when they are deployed such that the remaining ordinary nodes can localize themselves in accordance with these beacon node. We develop a novel model that first finds the distance of the sensor nodes then it finds the location of the unknown sensor nodes in power efficient manner. Our simulation results show the effectiveness of the proposed methodology in terms of controlled and reduced power.     

A cross layer error control scheme for efficient WLAN multimedia streaming

Multimedia Tools and Applications - Efficient streaming of bandwidth intensive and delay sensitive multimedia contents over error prone wireless links has proven to be one of the most challenging...     

APCFS: Autonomous and Parallel Compressed File System

APCFS (Autonomous and Parallel Compressed File System) is a file system that supports fast autonomous compression at high compression rates. It is designed as a virtual layer inserted over existing file system, compressing and decompressing data by intercepting kernel calls. The system achieves enhanced compression ratio by combining two compression techniques. Speed is attained by performing the two compression techniques in parallel. Experimental results indicate good performance.     

Evaluating the significance of error checksums for wireless video streaming

Efficient streaming of bandwidth intensive and delay sensitive multimedia contents over error prone wireless links has proven to be one of the most challenging problems of current era of digital communication. Applying unequal error protection strategies and avoiding unnecessary packet discard at various network levels yield valuable outcomes. In this article, we have proposed the idea of discriminating classified video streaming calls from the data packeting over IEEE WLAN through bit demarcation in network packet headers. Error computation at various network levels are evaluated and disabled in order to attain increased throughput characterized by the higher number of packets available for decoding, enhanced multimedia visual quality due to gap elimination (appears as a consequence of some frame loss), efficient utilization of link bandwidth with no re-transmissions and reduced delays with least error checksum computations and packet re-transmissions. Moreover, collaborative estimation of various layers parameters results in proficient selection of streaming parameters like group of picture structure, inter spacing of anchor frames, constellation coding and signal power. The proposed system will be helpful in future information and communication systems by providing reliable video streaming over wireless.