Superior Path Planning Mechanism for Mobile Beacon-Assisted Localization in Wireless Sensor Networks

Rezazadeh, Javad; Moradi, Marjan; Ismail, Abdul Samad; Dutkiewicz, Eryk

doi:10.1109/jsen.2014.2322958

Cited by 141 publications

(112 citation statements)

References 35 publications

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“…Recently, in [34], authors proposed a path planning technique called as Z-curve. The proposed trajectory has the ability to successfully localize all the nodes with high precision and in the shortest time.…”

Section: Related Workmentioning

confidence: 99%

Survey of Localization Techniques based on Mobile Beacon in Wireless Sensor Network

Ubnare¹,

Yadav²,

Chourasiya³

2017

International Journal of Innovative Research in Electrical, Ele

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Nowadays, Wireless Sensor Networks (WSNs) are most growing research area because of its low cost, infrastructure less, increased capabilities of nodes, real-time and accurate monitoring. It is employed to gather and forward information to the destination. Location of the event or collected information is very crucial for successive operations. This information may be obtained using the global positioning system, but it is not feasible for energy constraints networks. Location of sensor nodes may be obtained through localization techniques. Localization of nodes in a sensor network is a motivating analysis space, and a lot of works are done to this point. It is highly required to design energy aware, economical and scalable localization techniques for WSNs. In this paper, we have done analyze of various localization techniques, and few possible future research directions.

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Section: Related Workmentioning

confidence: 99%

Survey of Localization Techniques based on Mobile Beacon in Wireless Sensor Network

Ubnare¹,

Yadav²,

Chourasiya³

2017

International Journal of Innovative Research in Electrical, Ele

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“…Equation (12) ensures that the total information flow towards sink from courier node will not surpass the sum of information flows of all couriers nodes towards sink. Equation (13) from all descendent nodes in its one sojourn tour at different sojourn locations, where shows the sojourn location of the th courier node.…”

Section: Aggregate Traffic Model For Mobile Courier Nodesmentioning

confidence: 99%

iAMCTD: Improved Adaptive Mobility of Courier Nodes in Threshold-Optimized DBR Protocol for Underwater Wireless Sensor Networks

Javaid

Jafri

Khan

et al. 2014

International Journal of Distributed Sensor Networks

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We propose forwarding-function ( ) based routing protocol for underwater sensor networks (UWSNs): improved adaptive mobility of courier nodes in threshold-optimized depth-based-routing (iAMCTD). Unlike existing depth-based acoustic protocols, the proposed protocol exploits network density for time-critical applications. In order to tackle flooding, path loss, and propagation latency, we calculate optimal holding time ( ) and use routing metrics: localization-free signal-to-noise ratio (LSNR), signal quality index (SQI), energy cost function (ECF), and depth-dependent function (DDF). Our proposal provides on-demand routing by formulating hard threshold ( th ), soft threshold ( th ), and prime energy limit ( prime ). Simulation results verify effectiveness and efficiency of the proposed iAMCTD. BackgroundUnderwater acoustic sensor networks (UASNs), as a subclass of wireless sensor networks (WSNs), are specifically used for monitoring purposes in aqueous environment. The acoustic wireless sensors along with sink(s), distributed under water, constitute the basic body of UASN, where acoustic sensors gather the information of interest and then following a routing strategy forward these data to the end station. WHOI Micro-Modem [1] and Crossbow Mica2 [2] are among the commercially available sensors for underwater environments. Sink is generally supposed to have no power constraint, whereas the acoustic sensors are equipped with limited battery power. These networks provide diversified range of applications like pollution monitoring, ocean current detection, submarine discovery, deep sea explorations, and seabed management.Due to the nature of aqueous environment, improving energy efficiency at routing layer is a challenging task. Moreover, as there are major differences between terrestrial and underwater conditions, hence the basic concepts of terrestrial routing can not be implemented in UWSNs. To tackle these problems, researchers exercise the role of low speed acoustic signals for aqueous communication and sea navigation systems, leading to high propagation delay and transmission losses. High shipping activity, thermal noise, and turbulent noise also increase the error rate. Authors in [3] design the underwater acoustic channel to descriptively analyze the total noise density and path loss. On the other hand [4], it investigates diverse routing architectures for 2-dimensional and 3-dimensional UWSNs. Fundamental analyses of aqueous conditions show that reactive routing is more challenging than the proactive one. Battery replacement and efficient routing are among the solutions to overcome the

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“…In addition, they maintain the same goal: serve more sensor nodes in the network while reducing the traveling length as much as possible. Path planning of the mobile beacon in localization has been well studied in the past few years [21][22][23][24][25]. Thus, in this paper, we choose four classic traveling paths which have been designed for localization in WSNs, namely, SCAN, HILBERT, S-CURVES, and Z-curve to study their performance in wireless charging.…”

Section: Related Workmentioning

confidence: 99%

“…Z-curve was proposed in [25] as a superior path planning mechanism for mobile beacon-assisted localization in wireless sensor networks. Z-curve is generated similarly to HILBERT: it is also generated based on recursive construction.…”

Section: Z-curvementioning

confidence: 99%

Impacts of traveling paths on energy provisioning for industrial wireless rechargeable sensor networks

Han

Qian

Liu

et al. 2015

Microprocessors and Microsystems

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Superior Path Planning Mechanism for Mobile Beacon-Assisted Localization in Wireless Sensor Networks

Cited by 141 publications

References 35 publications

Survey of Localization Techniques based on Mobile Beacon in Wireless Sensor Network

Survey of Localization Techniques based on Mobile Beacon in Wireless Sensor Network

iAMCTD: Improved Adaptive Mobility of Courier Nodes in Threshold-Optimized DBR Protocol for Underwater Wireless Sensor Networks

Impacts of traveling paths on energy provisioning for industrial wireless rechargeable sensor networks

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