Sensor Networks (TOSN)


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ACM Transactions on Sensor Networks (TOSN), Volume 2 Issue 4, November 2006

Segmenting object space by geometric reference structures
Pankaj K. Agarwal, David Brady, Jiří Matoušek
Pages: 455-465
DOI: 10.1145/1218556.1218557
A model for segmentation of an object space by an array of binary, radiation-field sensors and geometric reference structures is described. Given a family of binary, radiation-field sensors and a geometric reference structure, we refer to the set of...

Modeling spatially correlated data in sensor networks
Apoorva Jindal, Konstantinos Psounis
Pages: 466-499
DOI: 10.1145/1218556.1218558
The physical phenomena monitored by sensor networks, for example, forest temperature or water contamination, usually yield sensed data that are strongly correlated in space. With this in mind, researchers have designed a large number of sensor...

LEAP+: Efficient security mechanisms for large-scale distributed sensor networks
Sencun Zhu, Sanjeev Setia, Sushil Jajodia
Pages: 500-528
DOI: 10.1145/1218556.1218559
We describe LEAP+ (Localized Encryption and Authentication Protocol), a key management protocol for sensor networks that is designed to support in-network processing, while at the same time restricting the security impact of a node compromise to...

A prediction error-based hypothesis testing method for sensor data acquisition
Tarik Arici, Toygar Akgun, Yucel Altunbasak
Pages: 529-556
DOI: 10.1145/1218556.1218560
We present a statistical method that uses prediction modeling to decrease the temporally redundant data transmitted back to the sink. The major novelties are fourfold: First, a prediction model is fit to the sensor data. Second, prediction error is...

Scalable logical coordinates framework for routing in wireless sensor networks
Qing Cao, Tarek Abdelzaher
Pages: 557-593
DOI: 10.1145/1218556.1218561
In this article, we present logical coordinates based routing (LCR), a novel framework for scalable and location-independent routing in wireless sensor networks. LCR assigns each node a logical coordinate vector, and routes packets following these...

VLSI implementation of an energy-aware wake-up detector for an acoustic surveillance sensor network
David H. Goldberg, Andreas G. Andreou, Pedro Julián, Philippe O. Pouliquen, Laurence Riddle, Rich Rosasco
Pages: 594-611
DOI: 10.1145/1218556.1218562
We present a low-power VLSI wake-up detector for a sensor network that uses acoustic signals to localize ground-based vehicles. The detection criterion is the degree of low-frequency periodicity in the acoustic signal, and the periodicity is computed...