Mukhopadhyay / Leung Advances in Wireless Sensors and Sensor Networks

2010
ISBN: 978-3-642-12707-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 64, 361 Seiten, eBook

Reihe: Lecture Notes in Electrical Engineering

In recent times wireless sensors and sensor networks have become a great interest to research, scientific and technological community. Though the sensor networks have been in place for more than a few decades now, the wireless domain has opened up a whole new application spaces of sensors. Wireless sensors and sensor networks are different from traditional wireless networks as well computer networks and therefore pose more challenges to solve such as limited energy, restricted life time, etc. This book intends to illustrate and to collect recent advances in wireless sensors and sensor networks, not as an encyclopedia but as clever support for scientists, students and researchers in order to stimulate exchange and discussions for further developments.

Zielgruppe

Research

Autoren/Hrsg.

Mukhopadhyay, Subhas Chandra

Leung, Henry

Inhaltsverzeichnis

Security for Wireless Sensor Networks – Configuration Aid.- Low Power Wireless Buoy Platform for Environmental Monitoring.- A Detail Performance Evaluation of the Novel Mechanisms Ensuring Maximum Connectivity and Data Transmission between Nodes, Based on the Heuristics Under 5-Color Clustered Response Approach.- Inventory Management in the Packaged Gas Industry Using Wireless Sensor Networks.- An EM-IMM Method for Simultaneous Registration and Fusion of Multiple Radars and ESM Sensors.- Locatable, Sensor-Enabled Multistandard RFID Tags.- Optimal Sensor Network Configuration Based on Control Theory.- Optimal Local Map Registration for Wireless Sensor Network Localization Problems.- Wireless Sensor Network: Application to Vehicular Traffic.- Thermal Energy Harvesting for Wireless Sensor Nodes with Case Studies.- IEEE 1451.5 Standard-Based Wireless Sensor Networks.- Fuzzy Based Optimized Routing Protocol for Wireless Sensor Networks.- Energy Aware Sensor Group Scheduling to Minimise Estimated Error from Noisy Sensor Measurements.- Smart Home for Elderly Using Optimized Number of Wireless Sensors.- Estimation of Packet Error Rate at Wireless Link of VANET.

Leseproben

"Wireless Sensor Network: Application to Vehicular Traffic (p. 199-200)

Abstract.

In this paper we are reporting our current development of wireless sensor network to e?ectively monitor vehicular tra?c. A simple star con?guration that consists of a server node communicating with a number of sensor nodes is proposed because of its low complexity, and easy and quick deployment, maintenance and relocation. Our system consists of the sensor, processor, and RF transceiver. We choose the magneto-resistive sensor to detect vehicles as it yields high accuracy with small size. The sensor yields important vehicle informations such as vehicle count, speed, and classi?cation.

The network topology is a simple star network. Two Medium Access Communication Protocols (MAC) are analyzed and can be automatically switched based on two di?erent tra?c scenarios. An antenna design is shown to ?t with a small sensor node. Experiments show that the proposed system yields good data processing results. The classi?cation of vehicles is very promising for major types of vehicles: motorcycle, small vehicle, and bus. RF communications is employed that cable installation can be avoided. Protocol frame formats are provided for both RF communications and RS232. This protocol is very simple and can be easily extended when new sensors or new data types are available.

1 Introduction

Tra?c congestion is all big city’s major concern. It hinders substantial economic and social growth. Work have been proposed with the common goal of alleviating tra?c congestion. It is widely agreed that e?cient tra?c planning and management often reduce the congestion to a certain degree. Let’s take Bangkok for instance. During rush hours, the city often manages the traf- ?c by resorting to the tra?c police as a conventional and common practice.

Police o?cers are dispatched to major streets and junctions to help direct and control tra?c ?ow. The tra?c police manually switched tra?c lights at these junctions based on real-time tra?c conditions being observed and communicated among them over their trunked-radio. The lack of tra?c data or wrong tra?c information will worsen the tra?c situation. This particular situation clearly shows that tra?c data collection is very important for an e?ective real-time tra?c management. It is thus important that an e?cient management of tra?c requires data collection process in the ?rst step. A number of work have studied on various vehicle sensors, their accuracy in collecting data, and their operation and functionality.

These sensors include inductive loop [1,8,5], optical sensor [13,8], ultrasonic [6,8], and magnetic sensor [7,8]. Applications of these sensors to tra?c data collection and processing have been numerously proposed [11,13,6,12,2,14,5,9]. Most of the tra?c data collecting devices require signal and power cables. Recently, wireless sensor network has been applied to traf- ?c monitoring systems as it yields several advantages including quick deployment and maintenance, less cables involved, and small size [9,4]. Therefore, applications of wireless sensor network to tra?c data collection are numerous."