By Artemis Voulkidis, Spiros Livieratos, Panayotis Cottis (auth.), Mohamed Kamel, Fakhri Karray, Hani Hagras (eds.)
This booklet constitutes the refereed court cases of the 3rd overseas convention on self sustaining and clever platforms, AIS 2012, held in Aveiro, Portugal, in June 2012, collocated with the overseas convention on snapshot research and popularity, IACIAR 2012. The 31 revised complete papers have been conscientiously reviewed and chosen from forty eight submissions. The papers are geared up in topical sections on self sustaining sensors and sensor platforms, self sustaining structures and clever keep an eye on with purposes, clever fuzzy platforms, clever robotics, clever wisdom administration, swarm and evolutionary tools, and applications
Read Online or Download Autonomous and Intelligent Systems: Third International Conference, AIS 2012, Aveiro, Portugal, June 25-27, 2012. Proceedings PDF
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Additional resources for Autonomous and Intelligent Systems: Third International Conference, AIS 2012, Aveiro, Portugal, June 25-27, 2012. Proceedings
To illustrate the advantages provided by the inclusion of relay nodes, in Table 3, for each instance data, we have taken the extreme points of a Pareto Front from NSGA-II. If we compare these results with the homogeneous case in Table 1, we can check how power consumption have been greatly reduced, up to 28 times in some cases. M. Lanza-Guti´errez et al. Table 3. 21% Extreme 2 5 Conclusions and Future Works In this work, we have solved the relay node placement problem by means of MOEAs, studying how to place relay nodes in a previously deﬁned static WSN with the least possible number of sensors, besides we provide our instance set used.
Both Rc and Rs take habitual values from , 30 and 15 meters respectively. In addition, we have included a new Rc value (60 meters) to represent devices with higher communication capacities. Energy values (α=2, β=1, EC=5J and amp=100pJ/bit/m2 ) are taken from . The used information packet size is 128kB. Collector node is placed in the center of the scenery and the coverage threshold used for lifetime is 70% . The number of sensors for both scenarios is the lowest value to cover all the surface: the area covered for a sensor is π×Rs2 and the area of a scenery is Dx ×Dy , so it is necessary (Dx ×Dy )/(π×Rs2 ) sensors.
For example, a noisy sensor might produce uncertain data, weather station may report ambiguous data about the amount of rain, a traﬃc camera with blurred lens may provide vague data, and ﬁnally we might deal with incomplete data when facing disconnections in data transmission. In the correlated case, the sensors are exposed to some external noises being made by each other which have consequently biased their measurements. In such circumstances, the data from all of these sensors are correlated and not dealing with it may result in errors regarding data conﬁdence.