Poster abstract: on the scaling laws of dense wireless sensor networks

Authors:
Praveen Kumar Gopala;Hesham El Gamal
Affiliations:
The Ohio State University, Columbus, OH;The Ohio State University, Columbus, OH
Venue:
Proceedings of the 1st international conference on Embedded networked sensor systems
Year:
2003

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On the many-to-one transport capacity of a dense wireless sensor network and the compressibility of its data

IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks

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Abstract

We characterize the scaling laws of many-to-one dense wireless sensor networks and derive conditions governing the observability of random fields by such networks. We further extend our results to the multimodal case where the sensors observe multiple random processes simultaneously. Quite interestingly, our results show that an unbounded number of spatially bandlimited Gaussian processes can be observed simultaneously by a dense multimodal wireless sensor network.