Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error
Prasan Kumar Sahoo,I-Shyan Hwang +1 more
TL;DR: Novel localization algorithms are proposed to find out possible location information of the normal nodes in a collaborative manner for an outdoor environment with help of few beacons and anchor nodes and analytical methods are designed to calculate and reduce the localization error using probability distribution function.
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Abstract: Localization is an important research issue in Wireless Sensor Networks (WSNs). Though Global Positioning System (GPS) can be used to locate the position of the sensors, unfortunately it is limited to outdoor applications and is costly and power consuming. In order to find location of sensor nodes without help of GPS, collaboration among nodes is highly essential so that localization can be accomplished efficiently. In this paper, novel localization algorithms are proposed to find out possible location information of the normal nodes in a collaborative manner for an outdoor environment with help of few beacons and anchor nodes. In our localization scheme, at most three beacon nodes should be collaborated to find out the accurate location information of any normal node. Besides, analytical methods are designed to calculate and reduce the localization error using probability distribution function. Performance evaluation of our algorithm shows that there is a tradeoff between deployed number of beacon nodes and localization error, and average localization time of the network can be increased with increase in the number of normal nodes deployed over a region.
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Citations
Accurate Wireless Sensor Localization Technique Based on Hybrid PSO-ANN Algorithm for Indoor and Outdoor Track Cycling
TL;DR: The proposed hybrid particle swarm optimization-artificial neural network (PSO-ANN) algorithm significantly improved the distance estimation accuracy more than the traditional LNSM method without additional components.
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ALRD: AoA Localization with RSSI Differences of Directional Antennas for Wireless Sensor Networks
TL;DR: A novel localization scheme, called AoA Localization with RSSI Differences (ALRD), for a sensor node to quickly estimate its location with the help of two beacon nodes, each of which consists of two perpendicularly orientated directional antennas.
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The Impact of Transmission Power Control Strategies on Lifetime of Wireless Sensor Networks
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Anchor node localization for wireless sensor networks using video and compass information fusion.
Dan Pescaru,Daniel-Ioan Curiac +1 more
TL;DR: This novel technique is based on the fusion of video and compass data acquired by the anchor nodes and is especially suitable for video- or multimedia-based wireless sensor networks.
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TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
Daniel G. Costa,Cristian Duran-Faundez,Daniel C. Andrade,João B. Rocha-Junior,João Paulo Just Peixoto +4 more
TL;DR: An integrated approach to detect and classify events of interest posted in social media, notably in Twitter, and the assignment of sensing priorities to source nodes is proposed, so that wireless sensor networks deployed in Smart City scenarios can be optimized for higher efficiency when monitoring areas under the influence of the detected events.
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Tian He,Chengdu Huang,Brian M. Blum,John A. Stankovic,Tarek Abdelzaher +4 more
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