How to Compute the Voronoi Diagram of Line Segments: Theoretical and Experimental Results
ESA '94 Proceedings of the Second Annual European Symposium on Algorithms
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Weighted coloring based channel assignment for WLANs
ACM SIGMOBILE Mobile Computing and Communications Review
Partially overlapped channels not considered harmful
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
A control theory approach to throughput optimization in multi-channel collection sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Experimental Study of the Impact of WLAN Interference on IEEE 802.15.4 Body Area Networks
EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
Minimum-Latency Schedulings for Group Communications in Multi-channel Multihop Wireless Networks
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Multi-Channel Interference Measurement and Modeling in Low-Power Wireless Networks
RTSS '09 Proceedings of the 2009 30th IEEE Real-Time Systems Symposium
Design of Non-orthogonal Multi-channel Sensor Networks
ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
IEEE/ACM Transactions on Networking (TON)
Engineering wireless mesh networks: joint scheduling, routing, power control, and rate adaptation
IEEE/ACM Transactions on Networking (TON)
Beyond co-existence: Exploiting WiFi white space for Zigbee performance assurance
ICNP '10 Proceedings of the The 18th IEEE International Conference on Network Protocols
MuZi: Multi-channel ZigBee Networks for Avoiding WiFi Interference
ITHINGSCPSCOM '11 Proceedings of the 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing
EM-MAC: a dynamic multichannel energy-efficient MAC protocol for wireless sensor networks
MobiHoc '11 Proceedings of the Twelfth ACM International Symposium on Mobile Ad Hoc Networking and Computing
Improving Link Quality by Exploiting Channel Diversity in Wireless Sensor Networks
RTSS '11 Proceedings of the 2011 IEEE 32nd Real-Time Systems Symposium
@scale: insights from a large, long-lived appliance energy WSN
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Wireless Sensor Network Platforms -- Datasheets versus measurements
LCN '11 Proceedings of the 2011 IEEE 36th Conference on Local Computer Networks
Least squares quantization in PCM
IEEE Transactions on Information Theory
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
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While the increasing scales of the recent WSN deployments keep pushing a higher demand on the network throughput, the 16 orthogonal channels of the ZigBee radios are intensively explored to improve the parallelism of the transmissions. However, the interferences generated by other ISM band wireless devices (e.g., WiFi) have severely limited the usable channels for WSNs. Such a situation raises a need for a spectrum utilizing method more efficient than the conventional multi-channel access. To this end, we propose to shift the paradigm from discrete channel allocation to continuous frequency allocation in this paper. Motivated by our experiments showing the flexible and efficient use of spectrum through continuously tuning channel center frequencies with respect to link distances, we present FAVOR (Frequency Allocation for Versatile Occupancy of spectRum) to allocate proper center frequencies in a continuous spectrum (hence potentially overlapped channels, rather than discrete orthogonal channels) to nodes or links. To find an optimal frequency allocation, FAVOR creatively combines location and frequency into one space and thus transforms the frequency allocation problem into a spatial tessellation problem. This allows FAVOR to innovatively extend a spatial tessellation technique for the purpose of frequency allocation. We implement FAVOR in MicaZ platforms, and our extensive experiments with different network settings strongly demonstrate the superiority of FAVOR over existing approaches.