• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.48 no.6
• /
• pp.51-60
• /
• 2011

Researches on indoor localization using the wireless sensor network have been actively carried out to be used for indoor area where GPS signal is not received. Computationally efficient WCL(Weighted Centroid Localization) algorithm is shown to perform relatively well. However, to get the best performance for WCL all the anchor nodes must send signal with power to cover 96% of the network. The fact that outside the transmission range of the fixed nodes drastic localization error occurs results in large mean error and deviation. Due to these problems the WCL algorithm is not easily applied for use in the real indoor environment. In this paper we propose SRS(Succesive Region Setting) algorithm which sequentially reduces the estimated location area using the signal strength from the anchor nodes. The proposed algorithm does not show significant performance degradation corresponding to transmission range of the anchor nodes. Simulation results show that the proposed SRS algorithm has mean localization error 5 times lower than that of the WCL under free space propagation environment.

• Journal of KIISE:Information Networking
• /
• v.37 no.5
• /
• pp.409-414
• /
• 2010

The applications based on geographical location are increasing rapidly in wireless sensor networks (WSN). Recently, various localization algorithms have been proposed but the majority of algorithms rely on the specific hardware to measure the distance from the signal sources. In this paper, we propose the Weighted Multiple Rings Localization(WMRL). We assume that each deployed anchor node may periodically emit the successive beacon signals of the different power level. Then, the beacon signals form the concentric rings depending on their emitted power level, theoretically. The proposed algorithm defines the different weighting factor based on the ratio of each radius of ring. Also, If a sensor node may listen, it can find the innermost ring of the propagated signal for each anchor node. Based on this information, the location of a sensor node is derived by a weighted sum of coordinates of the surrounding anchor nodes. Our proposed algorithm is fully distributed and does not require any additional hardwares and the unreliable distance indications such as RSSI and LQI. Nevertheless, the simulation results show that the WMRL with two rings twice outperforms centroid algorithm. In the case of WMRL with three rings, the accuracy is approximately equal to WCL(Weighted Centroid Localization).

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06d
• /
• pp.167-170
• /
• 2011

많은 측위 알고리즘이 참조노드가 정사각형의 모서리에 위치한다고 가정 하고 있지만, 실제로는 다각형이 되거나 매쉬형으로 배치될 수 있다. 신호세기를 달리함으로써 동심원을 구성하여 측위하는 WMRL(Weighted Multiple Rings Localization)도 기본적으로 참조노드의 배치가 정사각형으로 가정하고 있다. 본 논문에서는 참조노드는 임의로 배치되어 있는 경우에서의 측위로 확장한다. 즉, 측위하는 센서 노드가 수신 가능한 전파를 송신하는 모든 참조노드로부터 링 번호를 기반으로 자신의 위치를 추청한다. WMRL의 다중 신호 세기 링 방식을 채용, 각 링의 도달거리를 기반으로 센서노드가 자신과 참조노드 간의 거리를 유추하고, 최소자승법을 이용해 자신의 좌표를 계산하는 알고리즘을 제안한다. 실험 결과 제안한 알고리즘은 에러가 없는 환경과 다수 참조노드 환경에서 WMRL 및 WCL(Weighted Centroid Localization)보다 2배 이상의 성능향상을 보였으며, 에러가 있는 전파환경에서는 DV-hop 보다 평균 6%, WCL 및 WMRL에는 평균 16% 정도의 성능 향상 결과를 보였다.