|8.30 - 9.00am||Participant registration|
|9.00 - 9.05am||Event
Dr Selvakennedy Selvadurai, School of IT, The University of Sydney
|9.05 - 9.15am||
Welcome Speech of Head of School of Information Technologies
Professor Albert Zomaya, The University of Sydney
|9.15 - 10.30am||
Wireless Sensor Networks as the Next Tier of the Internet (Abstract)
Professor David Culler, Arched Rock Corporation & University of California, Berkeley
|10.30 - 10.45am||Coffee break|
|10.45 - 11.45am||Energy-aware
Wireless Sensor and Actuator Networks (Abstract)
Professor Mani Srivastava, UCLA
|11.45 - 12.45pm||Programming
Models for Sensor Networks (Abstract)
Dr Kay Romer, ETH Zurich
|12.45 - 1.45pm||Lunch|
Program Efficiency by Packing Instructions into Registers (Abstract)
Professor David Whalley, Florida State University
|2.45 - 3.15pm||Designing
a Hybrid Sensor Network (Abstract)
Professor Sanjay Jha, UNSW
on Wireless Sensor Devices (Abstract)
Dr Cristina Cifuentes, Sun Microsystems
|4.00 - 4.30pm||
Innovative Applications of Sensor Networks in the Australian Context (Abstract)
Professor Subhash Challa, UTS and Associate Professor M. Palaniswami, University of Melbourne
|4.30 - 5.00pm||Wireless
Ad hoc Sensor and Actuator Networks on the Farm (Abstract)
Dr Pavan Sikka, CSIRO ICT Centre, Brisbane
|5.00 - 5.30pm||RFID
for Aircraft maintenance (Abstract)
Dr Kerry Taylor, CSIRO ICT Centre, Canberra
After a discussion on the factors that effect sensor network lifetime, and an overview of various techniques for energy management, the talk will focus on several emerging techniques for energy-aware operation. First, the talk will look at the energy problem in ultra low duty cycle application, and show how emerging predictive and rate adaptive time synchronization mechanisms can yield one to two orders of magnitude reduction in radio energy consumption relative to conventional radio power reduction mechanisms. Next, the talk will explore the emerging sensor platforms equipped with environmental energy harvesting, and describe harvesting-aware system resource management techniques that yield significant improvements in system lifetime and promise "energy neutral" operation. Lastly, the talk will describe how, rather counter-intuitively, actuation has emerged as a key to the lifetime problem, particularly in addressing energy issues surrounding the sensors themselves, which although usually ignored are often the energy bottleneck.
In this talk, we argue that novel programming models are needed to raise the level of abstraction from system-centric programming to application-centric programming of sensor networks. In particular, such models can support programming a sensor network as a whole (rather than individual nodes) using declarative specifications of the functionality that needs to be realized. The provision of such programming abstractions is, however, a challenging task as it is hard to combine expressiveness and simplicity of the model with resource-efficient execution on sensor nodes.
We illustrate the concept and involved challenges by presenting an example from our recent work that is called "generic role assignment." This programming model supports the assignment of user-defined roles to sensor nodes such that certain conditions are met. Many common network configuration problems such as coverage (assign roles ON and OFF to sensor nodes such that ON nodes cover a physical area with their sensors), clustering, or in-network data aggregation can be formulated as role assignment problems that can be supported with our programming model.
This talk will address the challenges involved in designing robust and scalable sensor network system. In contrast to the flat networking model considered in previous sensor networks research, we have proposed a hierarchical or hybrid network architecture which is more scalable and robust. Hybrid sensor networks consist of resource-impoverished sensors and resource-rich sensors, called micro-servers. Because of the different capabilities of heterogeneous devices in hybrid sensor networks, there is need for effective deployment and utilization of network resources. Therefore, we introduce resource provisioning and management algorithms to optimize the performance of hybrid sensor networks.
A native Australian sensor network application, cane toad monitoring, motivates this research on resource provisioning and management of hybrid sensor and actuator networks. This is a challenging sensor network application characterized by high frequency sampling, complex signal processing for in-network reasoning, and wide-area sensing coverage. This talk will discuss design and implementations of a hybrid sensor network system tailored to address these challenges as well as the design and evaluation of a reverse tree-based Anycast communication paradigm for hybrid sensor and actuator networks.
The Sun(TM) Small
Programmable Object Technology (SPOT) project at Sun Labs was started
to draw together several threads of complementary research into a new
advanced development programme. The result of this program is a new system
designed to allow developers to rapidly create complete Wireless Sensor
Applications using Java. The system includes hardware--small battery powered
sensor devices; and software--a tiny reflective Java VM (the Squawk VM)
and a development kit. Squawk acts as the OS all the way down to the hardware,
not just as a thin veneer
In this talk I will introduce the Sun SPOT technology and the Squawk Java virtual machine. Squawk is a Java ME compliant VM written in Java that implements an application isolation mechanism. Isolates represent applications as objects, thereby allowing for the reification of applications. Using Squawk, applications can be migrated from between Sun SPOTs. The Squawk wireless API allows developers to write wireless sensor applications using radio and radiogram connections. This presentation will include demonstrations of the Sun SPOT and Squawk technologies.
The initial goals
of the deployment are to provide a testbed for sensor network research
in programability and data handling while also being a useful tool for
scientists to study animal behavior. In the longer term, we aim to use
the deployment for exploring farm management systems that could transform
the way farms are managed.
Images used with the permission of Crossbow Technology Inc http://www.xbow.com/index.aspx
Page updated: 16-Feb-2006