Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
A Network-Centric Approach to Embedded Software for Tiny Devices
EMSOFT '01 Proceedings of the First International Workshop on Embedded Software
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Impact of radio irregularity on wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
IEEE Communications Magazine
International Journal of Sensor Networks
Tailoring a broadcast algorithm to particular network conditions
Proceedings of the 6th workshop on Middleware for network eccentric and mobile applications
Monitoring user activities in smart home environments
Information Systems Frontiers
Radio irregularity problem in wireless sensor networks: new experimental results
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Intelligent monitoring using wireless sensor networks
EUC'07 Proceedings of the 2007 conference on Emerging direction in embedded and ubiquitous computing
Experimental analysis and characterization of a wireless sensor network environment
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
WSN aided indoor localization for unmanned vehicles
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
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Wireless sensors use low power radio transceivers due to the stringent constraints on battery capacity. As a result, radio transmission with wireless sensors is unreliable. Further, propagation patterns are irregular, causing some links to be asymmetric. Accurate models of radio propagation patterns are important for protocol design and simulation. Thus far, measurements of radio propagation patterns have been carried out using the motes themselves for test measurement. We have carried out experiments using RF test equipment to precisely measure mote transmit and receive signal strength and to accurately determine propagation patterns. Our tests have produced new radio propagation patterns and a new propagation model. Our model is more accurate than previous models and can be used for building both analytical and simulation models for wireless sensor networks.