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Full-Text Articles in Physical Sciences and Mathematics

A Modeling Framework For Computing Lifetime And Information Capacity In Wireless Sensor Networks, Enrique Duarte-Melo, Mingyan Liu, Archan Misra Mar 2004

A Modeling Framework For Computing Lifetime And Information Capacity In Wireless Sensor Networks, Enrique Duarte-Melo, Mingyan Liu, Archan Misra

Research Collection School Of Computing and Information Systems

In this paper we investigate the expected lifetime and information capacity, defined as the maximum amount of data (bits) transferred before the first sensor node death due to energy depletion, of a data-gathering wireless sensor network. We develop a fluidflow based computational framework that extends the existing approach, which requires precise knowledge of the layout/deployment of the network, i.e., exact sensor positions. Our method, on the other hand, views a specific network deployment as a particular instance (sample path) from an underlying distribution of sensor node layouts and sensor data rates.


A Key Management Scheme For Wireless Sensor Networks Using Deployment Knowledge, Wenliang Du, Jing Deng, Yunghsiang S. Han, Shigang Chen Jan 2004

A Key Management Scheme For Wireless Sensor Networks Using Deployment Knowledge, Wenliang Du, Jing Deng, Yunghsiang S. Han, Shigang Chen

Electrical Engineering and Computer Science - All Scholarship

To achieve security in wireless sensor networks, it is important to be able to encrypt messages sent among sensor nodes. Keys for encryption purposes must be agreed upon by communicating nodes. Due to resource constraints, achieving such key agreement in wireless sensor networks is non-trivial. Many key agreement schemes used in general networks, such as Diffie-Hellman and public-key based schemes, are not suitable for wireless sensor networks. Pre-distribution of secret keys for all pairs of nodes is not viable due to the large amount of memory used when the network size is large. Recently, a random key predistribution scheme and …


Decision Fusion In A Wireless Sensor Network With A Large Number Of Sensors, Ruixin Niu, Michael Moore, Dale Klamer Jan 2004

Decision Fusion In A Wireless Sensor Network With A Large Number Of Sensors, Ruixin Niu, Michael Moore, Dale Klamer

Electrical Engineering and Computer Science - All Scholarship

For a wireless sensor network (WSN) with a large number of sensors, a decision fusion rule using the total number of detections reported by local sensors for hypothesis testing, is proposed and studied. Based on a signal attenuation model where the received signal power decays as the distance from the target increases, the system level detection performance, namely probabilities of detection and false alarms, are derived and calculated. Without the knowledge of local sensors' performances and at low signal to noise ratio (SNR), this fusion rule can still achieve very good system level detection performance if the number of sensors …