PN-WSNA: An approach for reconfigurable cognitive sensor network implementations
Journal
IEEE Sensors Journal
Journal Volume
11
Journal Issue
2
Pages
319-334
Date Issued
2011
Author(s)
Abstract
In this paper, a decentralized Petri-net-(PN)-based wireless sensor node architecture (PN-WSNA) is proposed to model and implement a reconfigurable cognitive sensor network. The proposed PN-WSNA is defined based on an ordinary PN. Benefits of inheriting the ordinary PN are powerful modeling capabilities of discrete event dynamic systems as well as theoretical evaluations of sensor process models. A PN-WSNA engine is implemented as a kernel program in sensor nodes so that reconfigurations of sensor process can be achieved in terms of updating tiny PN-WSNA model instead of full executable firmware codes. Therefore, this approach provides an efficient and power-saving methodology to reconfigure and update the execution scenarios in remote sensor nodes. At the same time, a PN-WSNA management server is responsible for PN-WSNA model constructions, distance sensor node administrations, and routing table managements. Each PN-WSNA sensor node is realized using a BAT mote, and a simulated distributed solar tracking system is also demonstrated to verify our approaches. ? 2010 IEEE.
Subjects
Cognitive sensor networks
Discrete event dynamic systems
Distance sensors
Execution scenario
Firmware codes
Kernel program
Management servers
Model construction
Modeling capabilities
Power-saving
Process model
Re-configurable
Reconfigurable systems
Remote sensors
Routing table
Solar tracking systems
Theoretical evaluation
Wireless sensor
Wireless sensor node
Cognitive systems
Electric network synthesis
Firmware
Graph theory
Petri nets
Remote sensing
Sensor networks
Sensor nodes
Telecommunication equipment
Wireless sensor networks
SDGs
Type
journal article