Abstract
Locating fixed sensing devices with a mobile anchor is attractive for covering larger deployment areas. However, the performance sensitivity to the geometric arrangement of anchor beacon positions remains unexplored. Therefore, localization using new RSSI-based localization algorithm, which uses a volumetric probability distribution function is proposed to find the most likely position of a node by information fusion from several mobile beacon radio packets to reduce error over deterministic approaches. This paper presents the guidelines of beacon selection that leads to design the most suitable trajectory, as a trade-off between the energy costs of travelling and transmitting the beacons versus the localization accuracy.
Highlights
Localization is important for many Wireless Sensor Networks (WSN) applications
Using a spacing of 10 metres between beacons and alternate 10 and 13 metres height, the localization errors versus number of iterations are plotted for 5 different runs
Possible height of beacons The result for experiment 2 is to determine the best possible combination height for alternate rows of beacons in the square grid flightpath as shown in Figure 4 for the two nodes. This shows that the performance is significantly better for the 10/13m and 10/15m alternate heights for both nodes
Summary
Localization is important for many Wireless Sensor Networks (WSN) applications. When a sensor is deployed, its sensor data is often of limited use unless the position of the sensor is known when the measurement was taken. GPS is not always available due to occlusion by buildings, trees or other obstructions. For this reason, there is keen interest in other methods for localizing sensors. This paper considers a motivating scenario where the sensor nodes are carried by an aircraft and are dropped and randomly scattered within the sensing region such as in the application of bushfire monitoring [1]. In this scenario, these nodes are not guaranteed to land at particular locations or in particular orientations. The deployed sensor nodes are blind nodes [3]
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