Naslov
Efficient Estimator for Distributed RSS-based Localization in Wireless Sensor Networks

Autori
Tomić, Slaviša ; Beko, Marko ; Dinis Rui ; Lipovac, Vladimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 11th Wireless Communications and Mobile Computing Conference - 2015 (IWCMC 2015) / Mohsen Guizani - , 2015, Xxx-xxx

Skup
11th International Wireless Communications and Mobile Computing Conference - 2015 (IWCMC 2015)

Mjesto i datum
Dubrovnik, Hrvatska, 24.08.2015. - 28.08.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Wireless localization; wireless sensor network (WSN); received signal strength (RSS); second-order cone programming problem (SOCP); cooperative localization; distributed localization

Sažetak
We address the received signal strength (RSS) based target localization problem in large-scale cooperative wireless sensor networks (WSNs). Using the noisy RSS measurements, we formulate the localization problem based on the maximum likelihood (ML) criterion. Although MLbased solutions have asymptotically optimal performance, the derived localization problem is non-convex. To overcome this difficulty, we propose a convex relaxation leading to second-order cone programming (SOCP) estimator, which can be solved efficiently by interior-point algorithms. Moreover, we investigate the case where target nodes limit the number of cooperating nodes by selecting only those neighbors with the highest RSS. This simple procedure can reduce the energy consumption of an algorithm in both communication and computation phase. Our simulation results show that the proposed approach outperforms significantly the existing ones in terms of the estimation accuracy and convergence. Furthermore, the new approach does not suffer significant performance degradation when the number of cooperating nodes is reduced.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA