ISSNIP Summer School 2006
The University of Melbourne
December 8-9, 2006

Summer School Photos (See below for details):


As part of its education program, the ARC Research Network on ISSNIP is presenting a two day summer school encompassing different areas of sensor networks research. These range from technical aspects addressing security and middleware to application issues in environmental sensing and infrastructure sensors. We are pleased to present this unique opportunity to hear a number of invited Australian and international experts in these respective areas giving lectures.  

As the event is entirely provided and funded by ISSNIP, there is no charge to attend the summer school. Registration is required, however, as places are limited. Click the following link for the registration form.

Registration Form [PDF][MSWord].


LocationBrown Theatre, Department of Electrical and Electronic Engineering
(Building 193, Parkville Campus)

Time Presenter Topic
Friday, 8th December, 2006
09.00 AM

Paul Havinga
University of Twente

Sensor Networks overview and challenges: system software, MAC protocols, and localization

Abstract: An overview of Wireless Sensor Networks will be presented, with a reference to the Europe context. The primary topics covered will include: addressing the challenges, a discussion of future directions, as well as a discussion of system software issues (operating system), MAC protocols, and localization.
11.00 AM

Yee Wei Law 
The University of Melbourne

Security of Wireless Sensor Networks: Energy-Efficient Attacks and Defence

Abstract: As with other technologies, a wireless sensor network (WSN) is not without its perils. When data are circulated in an unattended network, they might be leaked against the interests of the concerned parties. Operation-wise, there should be some means to ensure the availability of the service provided by the network, as well as a way to discriminate between legal and malicious requests to avoid executing tasks that might be disruptive to the network itself. This is where security comes in. These problems are largely categorized as information security and security against denial-of-service (DoS) attacks, and they are the foci of this talk. The common thread that permeates through these two areas is energy efficiency. While security can be gained by tamper-proofing the hardware, increasing the computational power of the sensor nodes and so on, practical WSN security is a balancing act that is constantly in search of the highest level of protection that can be squeezed out of the judicious use of limited resources.
12.45 PM Lunch
01.45 PM

Stuart Milner 
University of Maryland

Networking of Infrastructure Sensors: directional, hybrid wireless networks and sensing and surveillance

Abstract: An overview of the research in directional, hybrid (free space optical and RF) wireless networks and sensing and surveillance will be given. This will include the architecture, characteristics, challenges and approaches used in our program at the University of Maryland. This will be followed be a series of short presentations introducing selected ongoing research projects.

  • Autonomous Network-Based High Definition Sensing and Surveillance
  • Self-Organizing Directional Wireless Backbone Networks
  • Mobility Control for Coverage in wireless directional Networks under Dynamic and Uncertain Environments
  • Topology Reconfigurations with Successive Approximations
  • Dynamic Topology Control for Mobile Networks
  • Modeling and Simulation of Point to Point Broadband Wireless Networks
03.30 PM

Avinash Sridharan
University of Southern California

Distributed Optimization and Bandwidth Modeling for Fair Data Gathering in Wireless Sensor Networks
Abstract: Allocating fair rates to sensor sources under bandwidth constraints is a challenging problem. We show how this problem can be formulated using linear programming. We then demonstrate how Lagrange duality theory can be applied to develop a distributed fair rate control algorithm for this problem. Further, to make these algorithms practically viable one of the requirements is a realistic model for the receiver bandwidth. Therefore we also discuss how to model the receiver bandwidth via Markov chain analysis.
Saturday, 9th December, 2006
09.00 AM

Mohan Kumar
The University of Texas at Arlington

Middleware Services for Sensor Systems

Abstract: Applications and services are increasingly dependent on networks of sensors to constantly monitor the environment and provide vital data/information. Typically, information is collected by a large number of distributed and heterogeneous sensor nodes. Information fusion in dynamic and heterogeneous environments is a challenging issue. Middleware services that comprise distributed software entities spread across sensors and base stations can be effectively employed to perform such tasks as sensor selection, energy conservation, efficient routing, resource utilization and information fusion. We present MidFusion, an adaptive middleware architecture to facilitate information fusion in sensor network applications. Theoretical findings and validation through simulation and experimental work will be presented.
11.00 AM

Stuart Kininmonth 
Australian Institute of Marine Science (AIMS)

Implementing a sensor network on the Great Barrier Reef

Abstract: The Australian Institute of Marine Science has a number of autonomous weather stations which collect environmental data on a half-hourly basis. This information is automatically quality checked and stored in the data centre before being delivered to web based visualisation tools. Collecting real-time data at appropriate temporal and spatial scales is critical to understanding complex marine processes. The emerging generation of 'smart' sensors opens up a range of opportunities for automated intelligent monitoring of marine systems. Scientific research and engineering development, requiring extensive cross disciplinary collaboration, looks to extend the existing weather stations into a true sensor network. This project will involve the placement of a number of environmental sensors, measuring temperature, salinity, light and oxygen, at Davies Reef in North Queensland. Utilising standard computer network protocols, the sensors will be IP based, spatially aware and able to adapt to conditions they are monitoring. This will give us a better understanding of the relationship between various environmental parameters, the impact of temperature changes on coral reefs and the impact of global warming on the GBR system. This lecture examines the practical and theoretical aspects of establishing a sensor network in a coral reef system.
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