Analysis of Qos Aware Cloud Based Routing for Improved Security

The recent advances and the convergence of micro electro-mechanical systems technology, integrated circuit technologies, microprocessor hardware and Nano-technology, wireless communications, Ad-hoc networking routing protocols, distributed signal processing, and embedded systems have made the concept of Wireless Sensor Networks (WSNs). Sensor network nodes are limited with respect to energy supply, restricted computational capacity and communication bandwidth. Most of the attention, however, has been given to the routing protocols since they might differ depending on the application and network architecture. To prolong the lifetime of the sensor nodes, designing efficient routing protocols is critical. Even though sensor networks are primarily designed for monitoring and reporting events, since they are application dependent, a single routing protocol cannot be efficient for sensor networks across all applications. In this paper, we analyze the design issues of sensor networks and present a classification and comparison of routing protocols. This comparison reveals the important features that need to be taken into consideration while designing and evaluating new routing protocols for sensor networks. A reliable transmission of packet data information, with low latency and high energy-efficiency, is truly essential for wireless sensor networks, employed in delay sensitive industrial control applications. The proper selection of the routing protocol to achieve maximum efficiency is a challenging task, since latency, reliability and energy consumption are inter-related with each other. It is observed that, Quality of Service (QoS) of the network can improve by minimizing delay in packet delivery, and life time of the network, can be extend by using suitable energy efficient routing protocol

Vehicle Detection and Classification Using Wireless Sensor Network

ABSTRACT: There is growing need to enhance the performance of contemporary vehicle surveillance technologies using the advances in Wireless Sensor Networks (WSN)Technology. It is widely proposed to use recent advances in WSN technologies for vehicle detection and classification. Traffic surveillance systems provide data for building an efficient Intelligent Transportation System (ITS). Flexibility, ease in installation and maintenance, low cost and high accuracy of WSN gives more accurate vehicle detection and classification. This paper proposes a simple, yet, powerful system for real time vehicle classification. The approach is an improvisation and advancement of already developed algorithms. Presented algorithm is used for extraction of feature vectors. The experiment detects vehicles using detection state machine (DSM) and classifies them through K-Nearest Neighbouralgorithm. This classifier classifies the vehicles, into their stipulated classes, using its magnetic signature's shape with nearly 100% accuracy. It has been verified that the algorithm enhances the performance of vehicle surveillance with high precision and robustness

Design of Noise Pollution Monitoring System Using Wireless Sensor Network

Abstract-This concerns with the field of environmental monitoring by wireless sensor networks, in particular manner, our objective is the noise pollution monitoring in urban and industrial areas. The network is formed using random topology and overall synchronization is obtain. Transmission arrangement is implemented in this network because of noise monitoring is time consuming and uninterruptable. The a variety of protocols are use to build this purpose. The final idea of this work is to obtain a distributed network, with a large number of sensor nodes, for realizing a constant and autonomous acoustic monitoring, without human intervention in the interested region. Wireless Sensor Networks are very challenging research field for automation embedded system design, which should enforce stringent constraints such as power and cost. Day by day noise pollution is drastically increased, so that we create such type of environments and deployed the WSN nodes. Keywords-routing, scheduling, noise measurement, synchronized network, environment monitoring. __________________________________________________________________________________________ I

Algorithms and Architectures for Reduced Complexity LDPC Decoding: A survey

Abstract — Low-density parity-check (LDPC) code, have become most popular, promising near-optimal error correction code (ECC). Trade off between the performance and complexity of LDPC decoders is of paramount interest to communication engineers and researchers. The VLSI implementation of LDPC decoder is a big challenge. VLSI implementations has many difficulties to achieve as lower error floors, reduced interconnect complexities, small chip areas, lower power dissipation to support multiple code lengths and code rates. This Paper provides an overview of LDPC codes structure and different decoding algorithms. Index Terms — VLSI implementation, low complexity, LDPC, Min sum, etc. I