A Precise Indoor Localization Approach based on Particle Filter and Dynamic Exclusion Techniques

Elbes, Mohammed; Al‐Fuqaha, Ala; Anan, Muhammad

doi:10.5296/npa.v5i2.3717

Cited by 17 publications

(6 citation statements)

References 20 publications

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“…The paper presented by Mohammed Elbes, Ala Al-Fuqaha, and Muhammad Anan, "A Precise Indoor Localization Approach based on Particle Filter and Dynamic Exclusion Techniques" [2], shows a particle filter and dynamic access point exclusion techniques for indoor localization. The proposed approach fuses RSSI measurements received from nearby access points and data obtained from the Inertial Navigation System to converge to more accurate distance estimation.…”

Section: The Paper Entitled "Increased Energy Efficiency Via Delay-tomentioning

confidence: 99%

Emerging Technologies for Smart Devices

Rodrigues

2013

NPA

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This Special Issue includes the best revised selected papers from The 1st IEEE International Workshop on Emerging Technologies for Smart Devices (ETSD 2012), that took place in Anaheim, California, USA, in December 3-7, 2012. This first edition of ETSD received very good contributions. Then, this special issue includes the better conference papers after a rigorous review process in order to revise and enlarge the original contributions while avoiding self-plagiarism.

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Section: The Paper Entitled "Increased Energy Efficiency Via Delay-tomentioning

confidence: 99%

Emerging Technologies for Smart Devices

Rodrigues

2013

NPA

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“…If the six neighbor nodes are independent of each other, then they move to the top of the regular hexagon, forming relatively stable position information and sending this message to S. When the message is received by S, it will remove the sensor node Si inside the hexagon whose Euler distance, which can be determined by formulas (9), (10) and (11), is less than the sensor radius out of the regular hexagon. At the same time, the sensor node S is shut down to reduce energy consumption and improve the entire network life cycle [17].…”

Section: Solution Problemmentioning

confidence: 99%

“…In this paper, we will research a space homologous random field [10][11][12]. In the first case, all the target nodes (x,y) A, S(A) have a mean value µ subordinate to variance !…”

Section: Solution Problemmentioning

confidence: 99%

A New Energy-efficient Multi-target Coverage Control Protocol Using Event-driven-mechanism in Wireless Sensor Networks

et al. 2017

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Abstract-The covering problem and node deployment is a fundamental problem in the research into wireless sensor networks. The number of nodes and the coverage of a network can directly affect performance and operating costs. For this reason, we propose Event-driven-mechanism Coverage Control Protocol (ECCP). The algorithm uses the correlation between the nodes and dynamic grouping to adjust the coverage area. Within the coverage area, we use the greedy algorithm to optimize the coverage area. So the target node is uniformly covered by other sensor nodes and the network resource is optimized. To ensure the energy balance in the wireless sensor network and extend its lifetime, we only wake partial nodes to work in a cycle, so that they can work in turn. Experiments show that the algorithm can effectively reduce energy consumption, with better adaptability and effectiveness.

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“…The unknown node localization can be realized by estimating the distance/angle between the beacon node and unknown node. The most common methods of measurement are received signal strength (RSS) [3], time of arrival (TOA) [4], angle of arrival (AOA) [5], and time difference of arrival (TDOA) [6]. TDOA and AOA methods are energy consuming resolution and they require extra hardware.…”

Section: Introductionmentioning

confidence: 99%

RSS Localization Algorithm Based on Nonline of Sight Identification for Wireless Sensor Network

Wang

Cheng

Han

et al. 2014

International Journal of Distributed Sensor Networks

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Localization is a key issue for wireless sensor network. The traditional localization methods achieve high location accuracy using received signal strength (RSS) in line of sight (LOS) environment. But the localization accuracy degrades significantly in nonline of sight (NLOS) environment. So the localization in NLOS environment is one of the most challenging for wireless sensor network. In this paper, we propose an RSS based localization algorithm in NLOS environment. A NLOS identification algorithm is firstly proposed. This algorithm does not need the parameters of the NLOS in prior. Then we correct the NLOS measurements by subtracting the mean of NLOS errors. Finally, the Kalman filter is employed to mitigate the process noise. In simulations, we demonstrate that the proposed algorithm achieves higher localization accuracy compared with other methods.

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A Precise Indoor Localization Approach based on Particle Filter and Dynamic Exclusion Techniques

Cited by 17 publications

References 20 publications

Emerging Technologies for Smart Devices

Emerging Technologies for Smart Devices

A New Energy-efficient Multi-target Coverage Control Protocol Using Event-driven-mechanism in Wireless Sensor Networks

RSS Localization Algorithm Based on Nonline of Sight Identification for Wireless Sensor Network

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