Cluster-based localization in wireless sensor networks

Medidi, Muralidhar; Slaaen, Roger A.; Zhou, Yuanyuan; Mallery, Christopher J.; Medidi, Sirisha

doi:10.1117/12.672880

Cited by 16 publications

(9 citation statements)

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“…A number of MDS-based localization systems have been developed and described in the literature Costa et al (2006), Shang et al (2004), Vo et al (2008). Some of them utilize clustering techniques Medidi et al (2006), Shu et al (2009).…”

Section: Related Workmentioning

confidence: 99%

High performance wireless sensor network localisation system

Marks¹,

Niewiadomska-Szynkiewicz²,

Kołodziej³

2014

IJAHUC

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Abstract:In this paper we summarize the results of our research concerned with the development, implementation and evaluation of a software framework for wireless sensor networks localization -High Performance Localization System (HPLS). The system can be used to calculate positions of sensing devices (network nodes) in the deployment area, and to tune and verify various localization schemes through simulation. It provides tools for data acquisition from a workspace, estimation of inter-node distances, calculation of geographical coordinates of all nodes with unknown position and results evaluation. Received Signal Strength measurements are utilized to support the localization process. Trilateration, simulated annealing and genetic algorithm are applied to calculate the geographical coordinates of network nodes. The utility, efficiency and scalability of the proposed localization system HPLS have been justified through simulation and testbed implementation. The calculations have been done in parallel using the map-reduce paradigm and the HPC environment formed by a cluster of servers. The testbed networks were formed by sensor devices manufactured by Advantic Technology (clones of TelosB platform). A provided case study demonstrates the localization accuracy obtained for small-, medium-and large-size multihop networks.

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Section: Related Workmentioning

confidence: 99%

High performance wireless sensor network localisation system

Marks¹,

Niewiadomska-Szynkiewicz²,

Kołodziej³

2014

IJAHUC

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“…is much lower since the calculations are not easy to implement for wireless sensor networks. [ 18 ] applies a complex multidimensional scaling (MDS) algorithm [ 62 ] to estimate the position of cluster heads. Thus, the cluster members can use clusterheads as reference nodes.…”

Section: Experiments and Discussionmentioning

confidence: 99%

“…Registration is then used to compute the transformations between neighboring coordinate systems such that the related global coordinate system can be established. The authors in [ 18 ] propose a cluster-based localization approach to provide efficient and scalable localization in a large and high-density network. [ 19 ] proposes to use cluster-based network topology for determining the position information of the sensor nodes.…”

Section: Related Workmentioning

confidence: 99%

Cooperative Anchor-Free Position Estimation for Hierarchical Wireless Sensor Networks

Wen

Hsiao

Chan

2010

Sensors

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This paper proposes a distributed algorithm for establishing connectivity and location estimation in cluster-based wireless sensor networks. The algorithm exploits the information flow while coping with distributed signal processing and the requirements of network scalability. Once the estimation procedure and communication protocol are performed, sensor clusters can be merged to establish a single global coordinate system without GPS sensors using only distance information. In order to adjust the sensor positions, the refinement schemes and cooperative fusion approaches are applied to reduce the estimation error and improve the measurement accuracy. This paper outlines the technical foundations of the localization techniques and presents the tradeoffs in algorithm design. The feasibility of the proposed schemes is shown to be effective under certain assumptions and the analysis is supported by simulation and numerical studies.

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“…However, besides localization-based collaboration, it is possible to identify other ways to collaborate, based whether in monitoring a certain phenomenon or in the hardware characteristics of the nodes themselves (Ranjan et al, 2005), (Medidi et al, 2006), (Hussain et al, 2004), (Zhou et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

A Model for Wireless Sensor Networks Supported Cooperative Work

Brito

Peralta

2008

Proceedings of the Third International Conference on Computer Graphics Theory and Applications

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Collaboration is essential to Wireless Sensor Networks due to the typical resource limitations of the sensor nodes. In fact, the main functions of the network cannot be accomplished without collaboration among sensor nodes. Most of the work found in literature only focuses a specific type of collaboration, associated with the accomplishment of a certain task, such as signal processing, computing, routing, etc. In this paper, we present a graph-based model of cooperative work for WSNS. This model is called Wireless Sensor Networks Supported Cooperative Work (WSNSCW) and considers the specific requirements of the WSNS.

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Cluster-based localization in wireless sensor networks

Cited by 16 publications

References 0 publications

High performance wireless sensor network localisation system

High performance wireless sensor network localisation system

Cooperative Anchor-Free Position Estimation for Hierarchical Wireless Sensor Networks

A Model for Wireless Sensor Networks Supported Cooperative Work

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