Real-Time Link-Reliability Routing for QoS in Wireless Sensor Networks
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
This paper proposes a Real-Time Link Reliability Routing protocol for wireless sensor networks (WSNs). The protocol achieves to reduce packet deadline miss ratio while considering link reliability, two-hop velocity and power efficiency and utilizes memory and computational effective methods for estimating the link metrics. Numerical results provide insights that the protocol has a lower packet deadline miss ratio and improved sensor network lifetime. The results show that the proposed protocol is a feasible solution to the QoS routing problem in wireless sensor networks that support real-time applications.
Authors and Affiliations
Shiva Prakash T
Keywords
Related Articles
- EP ID EP152065
- DOI -
- Views 117
- Downloads 0
Comparative Analysis of Different Types of Full Adder Circuits
The Full Adder circuit is an important component in application such as Digital Signal Processing (DSP) architecture, microprocessor, and microcontroller and data processing units. This paper discusses the ev...
Optimized Traffic Signal Control System at Traffic Intersections Using Vanet
Traditional Automated traffic signal control systems normally schedule the vehicles at intersection in a pre timed slot manner. This pre-timed controller approach fails to minimize the waiting time of vehicles at...
Uncompressed Image Steganography using BPCS: Survey and Analysis
Steganography is the art and science of hide secret information in some carrier data without leaving any apparent evidence of data alternation. In the past, people use hidden tattoos, invisible ink or punching on...
Improved Brain Extraction Tool using Marker-Controlled Watershed Segmentation
Abstract: MRI head scan images contains some non-brain tissues and it is necessary to remove these non-brain tissues for further processing. The Brain Extraction Tool (BET) is one of the most popular brain segmenta...
An Analytical Study of Genetic Algorithm for Generating Frequent Itemset and Framing Association Rules At Various Support Levels
Abstract: In customary, frequent itemsets are propogated from large data sets by employing association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental and Border algorithm etc., which gains ino...