Wireless sensor network localization in 3D using steerable anchors' antennas

Gottapu, Srinivasa Kiran; Vallabhaneni, Pranav

doi:10.1109/spaces.2018.8316309

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Because the location of the positioning object is unknown, this distance is estimated from other information, such as the RSS or signal propagation time. Well-known related range-based technologies include that using received signal strength indicator (RSSI) [8,9,10,11,12], time of arrival (ToA) [13], and time difference of arrival (TDoA) [14]. The second category is that of range-free methods that do not attempt to estimate the physical distance between an anchor point and positioning object.…”

Section: Related Workmentioning

confidence: 99%

“…The ToA [13] method uses radio transmission speed and signal propagation time to measure the distance between the anchor point and target. Let T 0 be the time instant at which the target sends the measurement message.…”

Section: Related Workmentioning

confidence: 99%

“…Owing to the location of the target is unknown, the real Euclidean distance between the target and reference point cannot be measured. Therefore, some methods have been proposed to obtain the estimated distance by inferring it from the received signal strength (RSS) [8,9,10,11,12], or signal propagation time [13,14,15]. Then, three reference points that are not collinear are selected.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Positioning System Based on Coverage Area Pruning in Wireless Sensor Networks

Huang

2018

Sensors

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Wireless sensor networks are commonly applied in environmental monitoring applications. The crucial factor in such applications is to accurately retrieve the location of a monitoring event. Although many technologies have been proposed for target positioning, the devices used in such methods require better computational abilities or special hardware that is unsuitable for sensor networks with limited ability. Therefore, a range-free positioning algorithm, named coverage area pruning positioning system (CAPPS), is proposed in this study. First, the proposed CAPPS approach determines the area that includes the target approximately by using sensor nodes that can detect the target. Next, CAPPS uses sensor nodes that cannot detect the target to prune the area to improve positioning accuracy. The radio coverage variation is evaluated in a practical scenario, and a heuristic mechanism is proposed to reduce false positioning probability. Simulation results show that the size of the positioning area computed by CAPPS is smaller than that computed using distance vector hop, angle of arrival, and received signal strength indicator by approximately 98%, 97%, and 93%, respectively. In the radio variation scenario, the probability of determining an area excluding the target can be reduced from 50%–95% to 10%–30% by applying the proposed centroid point mechanism.

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