Powered by OpenAIRE graph
Found an issue? Give us feedback
https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/115343...
Part of book or chapter of book . 2005 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2025
Data sources: DBLP
versions View all 2 versions
addClaim

Distributed Localization Refinements for Mobile Sensor Networks

Authors: Yanmin Zhu 0006; Min Gao; Lionel M. Ni;

Distributed Localization Refinements for Mobile Sensor Networks

Abstract

Location information is crucial for many applications of sensor networks to fulfill their functions. A mobile sensor network is comprised of both mobile and stationary sensors. So far little work has been done to tackle the mobility of sensors in localization for sensor networks. In this paper, we propose the QoL-guided distributed refinements for anchor-free localization in wireless mobile sensor networks. Accuracy is the core concern for localization. We introduce the important concept of Quality of Localization (QoL) to indicate the accuracy of a computed location for a specific sensor node. Our approach is divided into two phases. In Phase one, we propose the algorithm QoL-guided spreading localization with refinements to compute locations for sensor nodes right after the deployment of the sensor network when the mobile sensors are required to stay static temporarily. In Phase two, the non-movement restriction is released and we propose the mobile location self-updating algorithm to update locations of mobile sensors regularly or on demand. Extensive simulations are conducted, which demonstrate that our approach is a promising technique for localization in wireless mobile sensor networks.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!