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

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.

REFERENCES

• 1: H. E. Gamal. On the scalin laws of dense wireless sensor networks. Submitted to IEEE Transactions on Information Theory April 2003.
• 2: D. Marco, E. J. Duarte-Melo, M. Liu, and D. L. Neuho. On the many-to-one transport capacity of a dense wireless sensor network and the compressibility of its data. to appear in the international workshop on Information Processing in Sensor Networks 2003.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES
      H.1.1 Systems and Information Theory
          Subjects: Information theory

General Terms:
Design, Theory

Keywords:
information-theoretic design, observability, sensor cooperation, sourcechannel coding separation, transport capacity