An Optimization Algorithm for Wireless Sensor Networks Localization Using Multiplier Method

Li, Caixia; Li, Yuanjie; Shen, Yu; Liu, Linlang; Cao, Qiying

doi:10.1109/cso.2010.187

Cited by 14 publications

(9 citation statements)

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“…The SDP-based localization systems are described in Tseng (2007), Wang et al (2008). The application of lagrangian multiplied method to the localization problem is described in Li et al (2010). The common strategy is to apply heuristics to solve the localization problem.…”

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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“…The most consequential is the arena from where the sensor data emerges and proceeds. Therefore the knowledge of the nodes position becomes authoritative [1]. In Wireless Sensor Networks, the vital problem is localization-determining the location of nodes.…”

Section: Introductionmentioning

confidence: 99%

“…The expenditure will be very much extravagant for qualifying GPS model for every node and this method is not feasible due to economic issues, higher power consumption. In lieu people develop some alternative techniques to estimate other nodes positions just hangs on some anchor nodes (known position) [1]. Therefore various algorithms and methodologies have been proposed to localize a node.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of diverse environment based on RSSI localization algorithms in wsns

Livinsa

Jayashri²

2013

2013 Ieee Conference on Information and Communication Technologies

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Wireless sensor networks (WSNs) are widely used in many environments and adverse terrains. Location estimation of sensor nodes is still a crucial area of research because of new localization requirements. One of the main hurdles facing sensor localization in WSNs is accuracy. Many localization algorithms and techniques have been proposed to estimate the position of nodes. In this paper, we consider an RSSI (received signal strength indicator) range based localization algorithm that relies on measuring the received signal strength indicator for distance estimation. In this work, we conducted the experiments in outdoor and indoor environments to derive the path loss model. The result shows that the outdoor environment has the better distance estimation than an indoor environment. Hence we investigate the effect of varying the anchor node density on localization error with minimum number of anchor nodes thereby enhancing an accuracy of the network.

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“…In recent years, the localization techniques of WSNs have been widely studied [2][3][4][5][6][7][8]. Most of these methods assume that the WSN is in a secure environment, and the beacon information is completely correct.…”

Section: Introductionmentioning

confidence: 99%

A novel D–S based secure localization algorithm for wireless sensor networks

Zhang

Ren

2013

Security Comm Networks

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Recent advances in wireless sensor networks (WSNs) technologies have brought significant convenience for location‐based services. And the problem of enabling nodes of WSNs to determine their locations in a hostile environment has become more and more important in WSNs applications. In this article, we propose a novel Dempster–Shafer based secure localization algorithm to diminish the effect of the unreliable beacons that provide false localization information in the WSNs. First, the framework of trust evaluation is established on the basis of evidence theory. According to the characteristics of time and space of beacons, we set up the basic probability assignment (BPA) values and BPA evidences of beacons. Then, an improved Dempster–Shafer method is utilized to resolve the conflicts among the BPA evidences and to integrate the trust values of beacons. The max_mass function is used to decide which beacon is attacked, and then, we eliminate the attacked beacons before the localization stage. Finally, we employ the weighted Taylor‐series least squares method to estimate the normal nodes coordinates. Simulation results demonstrate that our proposed algorithm is robust and effective. Copyright © 2013 John Wiley & Sons, Ltd.

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An Optimization Algorithm for Wireless Sensor Networks Localization Using Multiplier Method

Cited by 14 publications

References 10 publications

High performance wireless sensor network localisation system

High performance wireless sensor network localisation system

Performance analysis of diverse environment based on RSSI localization algorithms in wsns

A novel D–S based secure localization algorithm for wireless sensor networks

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