Localization for Wireless Sensor and Actor Networks with Meandering Mobility

    Authors

    M. I. Akbas; M. Erol-Kantarci;D. Turgut

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    IEEE Trans. Comput.

    Keywords

    Wireless sensor and actor networks; localization; meandering; mobility; mobile ad hoc networks; OPTIMIZING CLUSTERING-ALGORITHM; AD HOC NETWORKS; HYBRID; SYSTEM; JET; Computer Science, Hardware & Architecture; Engineering, Electrical &; Electronic

    Abstract

    Environmental monitoring applications for wireless sensor and actor networks rely on position estimation in order to process or evaluate the observed data. The absence of efficient positioning techniques for sensor nodes operating in harsh environments calls for novel approaches. While monitoring the Amazon river, unprecedented characteristics of the river and its surroundings challenge the node communications and drifting of the nodes makes it difficult to use the existing positioning methods. To address these challenges, we propose a multi-hop localization technique that takes advantage of sensor mobility with local information exchange. The collected information is used to enrich the environmental data with location information. The maximum hop distance for actor affiliation is also adapted according to network characteristics to improve energy consumption behavior. The motion of the sensor nodes follows the advection of the fluid parcels in the river, which is modeled as a combination of a central streamline with a meandering motion around the rough surface. This translates into a stretching topology with correlated motion for sensor nodes. Through extensive simulations, we show that the nodes can be efficiently positioned using the proposed approach, as our technique is compliant with the movement patterns of the sensor nodes in the realistic mobility model of the river.

    Journal Title

    Ieee Transactions on Computers

    Volume

    64

    Issue/Number

    4

    Publication Date

    1-1-2015

    Document Type

    Article

    Language

    English

    First Page

    1015

    Last Page

    1028

    WOS Identifier

    WOS:000351458800010

    ISSN

    0018-9340

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