Localization for anchoritic sensor networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We introduce a class of anchoritic sensor networks, where communications between sensor nodes are undesirable or infeasible due to, e.g., harsh environments, energy constraints, or security considerations. Instead, we assume that the sensors buffer the measurements over the lifetime and report them directly to a sink without necessarily requiring communications. Upon retrieval of the reports, all sensor data measurements will be available to a central entity for post processing. Our algorithm is based on the further assumption that some of the data fields that are being observed by the sensors can be modeled as a local (i.e. having decaying spatial correlations) stochastic process; if not, then choose an auxiliary field, e.g., carefully engineered random signals intentionally generated by arranged devices, "cloud shadows" cast on the ground, or animal heat. The sensor nodes record the measurements, or a function of the measurements, e.g., "1" when the measured signal is above a threshold, and "0" otherwise. These time-stamped sequences are ultimately transferred to the sink. The localization problem is then approached by analyzing the correlations between these sequences at pairs of nodes. As for applications, we discuss the localization scheme for large-scaled sensor networks deployed on the seabed and study a two-tiered architecture that organizes deaf sensors with local masters.

Original languageEnglish (US)
Title of host publicationDistributed Computing in Sensor Systems - Third IEEE International Conference, DCOSS 2007, Proceedings
Number of pages14
ISBN (Print)3540730893, 9783540730897
StatePublished - 2007
Externally publishedYes
Event3rd IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2007 - Santa Fe, NM, United States
Duration: Jun 18 2007Jun 20 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4549 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2007
Country/TerritoryUnited States
CitySanta Fe, NM

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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