Abstract
Currently, detection and tracking systems use a large number of different types of sensors. Because of the relatively low cost of sensors, many duplicate sensors of the same type are used to insure increased fault tolerance. The common practice is to assign each sensor of sensor cluster to handle on specific task. For example, while tracking multiple target, one sensor cluster is assigned to track one target only and any information it may collect about other targets is not utilized.
Some portion of this chapter has been reprinted with permission from “Distributed Sensor Networks-Introduction to the Special Section,” Iyengar et al. [1]
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Notes
- 1.
For every pair of points \(X,Y\in \mathbb {R}^3\), \(\overline{XY}\) denotes the line segment connecting \(X\) and \(Y\).
- 2.
Euclidean distance between points \(X\in \mathcal {S}\) and \(Y\in \mathcal {S}\) is denoted by \(||X-Y||\) and defined as the length of line segment \(\overline{XY}\): \(||X-Y||=|\overline{XY}|\).
- 3.
Line segment \(\overline{AB}^{\perp }\) is perpendicular bisecting line segment of \(\overline{AB}\), if and only if \(\overline{AB}^{\perp } \perp \overline{AB}\), \(\overline{AB}\) bisects \(\overline{AB}^{\perp }\), and \(\overline{AB}^{\perp }\) bisects \(\overline{AB}\).
- 4.
The maximum Euclidean distance between the sensor location and the target which is sensed by the sensor.
- 5.
The maximum Euclidean distance between two adjacent sensor nodes.
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Iyengar, S.S., Boroojeni, K.G., Balakrishnan, N. (2014). Introduction to Distributed Sensor Networks. In: Mathematical Theories of Distributed Sensor Networks. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8420-3_1
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