Impact of radio irregularity on wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Understanding the causes of packet delivery success and failure in dense wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Wireless network simulation extensions in SIDE/SMURPH
Proceedings of the 38th conference on Winter simulation
Improving wireless simulation through noise modeling
Proceedings of the 6th international conference on Information processing in sensor networks
Software engineering for health education and care delivery systems: The Smart Condo project
SEHC '09 Proceedings of the 2009 ICSE Workshop on Software Engineering in Health Care
An empirical study of low-power wireless
ACM Transactions on Sensor Networks (TOSN)
Physically-based models of low-power wireless links using signal power simulation
Computer Networks: The International Journal of Computer and Telecommunications Networking
The κ factor: inferring protocol performance using inter-link reception correlation
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Sampling and classifying interference patterns in a wireless sensor network
ACM Transactions on Sensor Networks (TOSN)
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Wireless sensor networks (WSNs) are subject to interference from other users of the radio-frequency (RF) medium. If the WSN nodes can recognize the interference pattern, they can benefit from steering their transmissions around it. This possibility has stirred some interest among researchers involved in cognitive radios, where special hardware has been postulated to circumvent non-random interference. Our goal is to explore ways of enhancing medium access control (MAC) schemes operating within the framework of traditional off-the-shelf RF modules applicable in low-cost WSN motes, such that they can detect interference patterns in the neighbourhood and creatively respond to them, mitigating their negative impact on the packet reception rate. In this paper, and based on previous work on the post-deployment characterization of a channel aimed at identifying "spiky" interference patterns, we describe (a) a way to incorporate interference models into an existing WSN emulator and (b) the subsequent evaluation of a proof-of-concept MAC technique for circumventing the interference. We found that an interference-aware MAC can improve the packet delivery rates in these environments at the cost of increased, but acceptable, latency.