A distributed tracking algorithm for target interception in face-structured sensor networks

An addition to the target tracking application is the presence of a tracker that aims to intercept the target. The WSN provides the position of the target to the tracker, so that it can move towards the target. The objective is to reach the target in the shortest possible time, using the fewest numb...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Conference on Local Computer Networks s. 470 - 473
Hlavní autoři: Souza, Efren L., Pazzi, Richard W., Nakamura, Eduardo F.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.09.2014
Témata:
ISSN:0742-1303
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:An addition to the target tracking application is the presence of a tracker that aims to intercept the target. The WSN provides the position of the target to the tracker, so that it can move towards the target. The objective is to reach the target in the shortest possible time, using the fewest number of nodes to save energy. In this paper, we propose and evaluate a Tracking Algorithm for Target Interception in face-structured sensor networks (TATI). TATI reduces the number of active nodes, activating only the faces that are feasible to be achieved by the target until the next sampling. Furthermore, the algorithm uses the nominal communication range of the nodes to shorten the route of the tracker. Simulation results show that TATI can save up to 15% in energy consumption, and it can keep the tracker around 10 meters closer to the target compared to the baseline.
ISSN:0742-1303
DOI:10.1109/LCN.2014.6925819