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Project Team:
J. Dunne
D. Patnode
Advisors:
Dr. Malinowski
Dr. Schertz

Overview
Introduction
Design Goals
Design Methodology
Subsystems
Project Success
Future Extensions / Projects
Applications
Conclusion

Introduction

Wireless Sensor Networks
One of MIT's 10 emerging technologies
Low-power systems
New applications: sensing, controls, automation
WISENET: Wireless Sensor Network
Office environment monitoring
Temperature, humidity, light
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ABSTRACT
WISENET is a wireless sensor network that monitors the environmental conditions such as light, temperature, and humidity. This network is comprised of nodes called motes that form an ad-hoc network to transmit this data to a computer that function as a server. The server stores the data in a database where it can later be retrieved and analyzed via a web-based interface. The network works successfully with an implementation of one sensor mote.
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CHAPTER 1
INTRODUCTION
A wireless sensor network is a distributed collection of a large number of sensor nodes, which are deployed either inside or very close to the phenomenon. The position of these sensor nodes need not be pre-determined and this allows the random deployment in various applications. Other factor which comes into the focus is that sensor network protocols and algorithms must incorporate self organizing capabilities. Wireless sensor networks are collections of distributed nodes which are capable of ....etc

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WISENET is a wireless sensor network

WISENET is a wireless sensor network that monitors the environmental conditions such as light, temperature, and humidity. This network is comprised of nodes called motes that form an ad-hoc network to transmit this data to a computer that function as a server. The server stores the data in a database where it can later be retrieved and analyzed via a web-based interface. The network works successfully with an implementation of one sensor mote.The technological drive for smaller dev ....etc

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abstract for automatic timetable generator abstract

Most colleges have a number of different courses and each course has a number of subjects. Now there are limited faculties, each faculty teaching more than one subjects. So now the time table needed to schedule the faculty at provided time slots in such a way that their timings do not overlap and the time table schedule makes best use of all faculty subject demands. We use a genetic algorithm for this purpose. In our Timetable Generation algorithm we propose to utilize a timetable object. Thi ....etc

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