Locality in distributed graph algorithms
SIAM Journal on Computing
SIAM Journal on Computing
NC-approximation schemes for NP- and PSPACE-hard problems for geometric graphs
Journal of Algorithms
Comparison between graph-based and interference-based STDMA scheduling
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
End-to-end packet-scheduling in wireless ad-hoc networks
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Coloring unstructured radio networks
Proceedings of the seventeenth annual ACM symposium on Parallelism in algorithms and architectures
The price of being near-sighted
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Sensor networks continue to puzzle: selected open problems
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Algorithmic models for sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
The capacity of wireless networks
IEEE Transactions on Information Theory
Wireless Communication Is in APX
ICALP '09 Proceedings of the 36th International Colloquium on Automata, Languages and Programming: Part I
Wireless scheduling with power control
ACM Transactions on Algorithms (TALG)
Adaptive instantiation of the protocol interference model in wireless networked sensing and control
ACM Transactions on Sensor Networks (TOSN)
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Choosing an appropriate interference model is crucial for link scheduling problems in sensor networks. While graph-based interference models allow for distributed and purely local coloring approaches which lead to many interesting results, a more realistic and widely agreed on model such as the signal-to-noise-plus-interference ratio (SINR) inherently makes scheduling radio transmission a non-local task, and thus impractical for the development of distributed and scalable scheduling protocols in sensor networks. In this work, we focus on interference models that are local in the sense that admissibility of transmissions only depends on local concurrent transmissions, and correct with respect to the geometric SINR model. In our analysis, we show lower bounds on the limitations that these restrictions impose an any such model as well as approximation results for greedy scheduling algorithms in a class of these models.