Optimizing Sensor Networks in the Energy-Latency-Density Design Space
IEEE Transactions on Mobile Computing
Medium access control with mobility-adaptive mechanisms for wireless sensor networks
International Journal of Sensor Networks
Y-MAC: An Energy-Efficient Multi-channel MAC Protocol for Dense Wireless Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
WARP: a flexible platform for clean-slate wireless medium access protocol design
ACM SIGMOBILE Mobile Computing and Communications Review
OS-MAC: An Efficient MAC Protocol for Spectrum-Agile Wireless Networks
IEEE Transactions on Mobile Computing
Defending wireless sensor networks from radio interference through channel adaptation
ACM Transactions on Sensor Networks (TOSN)
A survey on MAC protocols for cognitive radio networks
Ad Hoc Networks
Traffic-Aware Channel Assignment in Wireless Sensor Networks
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Towards a classification of energy aware MAC protocols for wireless sensor networks
Wireless Communications & Mobile Computing
An empirical study of low-power wireless
ACM Transactions on Sensor Networks (TOSN)
A Dynamic Multi-radio Multi-channel MAC Protocol for Wireless Sensor Networks
ICCSN '10 Proceedings of the 2010 Second International Conference on Communication Software and Networks
Multi-radio medium access control protocol for wireless sensor networks
International Journal of Sensor Networks
A decentralized MAC for opportunistic spectrum access in cognitive wireless networks
Proceedings of the 2010 ACM workshop on Cognitive radio networks
Low-overhead dynamic multi-channel MAC for wireless sensor networks
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
Full length article: Empirical time and frequency domain models of spectrum use
Physical Communication
Link quality-based channel selection for resource constrained WSNs
GPC'11 Proceedings of the 6th international conference on Advances in grid and pervasive computing
WiSpot: fast and reliable detection of Wi-Fi networks using IEEE 802.15.4 radios
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
Quantifying the channel quality for interference-aware wireless sensor networks
ACM SIGBED Review - Special Issue on the 10th International Workshop on Real-time Networks (RTN 2011)
A decentralized MAC protocol for opportunistic spectrum access in cognitive wireless networks
Computer Communications
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Wireless Sensor Networks have emerged as a promising technology for enabling embedded sensing in many daily life applications. The ever growing popularity of wireless devices has caused crowding of the existing spectrum. One of the major issues faced by real sensor network deployments is the coexistence with other devices and symbiotic interoperability in uncoordinated wireless environments. Since sensor networks consist of low power embedded nodes, the issue of coexistence and interference avoidance becomes important as the nodes remain handicapped while competing against other less resource constrained devices for the same channel. Surprisingly only a limited amount of work has been done towards designing spectrum agile and cognitive MACs catering the inevitable wireless interference. The selection of an interference minimal channel for data communication is key for reliable operation of a sensor network MAC protocol. In this paper, we identify the fundamental design challenges for dynamic selection of an interference free channel in wireless sensor networks. We describe a lightweight channel selection strategy designed to efficiently cater the real world deployment issues. We have carried out performance evaluation of our scheme on real sensor nodes and measured metrics such as successful packet delivery ratios and throughput. We provide comparative analysis of our channel selection algorithm with a random channel scheme on a sensor node testbed in the presence of different types of wireless interference patterns. Experiments show that our scheme has fast convergence and is able to achieve higher throughput and successful packet delivery ratios.