TY - GEN
T1 - Localization with enhanced location accuracy using RSSI in WSN
AU - Dan, Avishek
AU - Halder, Subir
AU - Dasbit, Sipra
PY - 2011
Y1 - 2011
N2 - Recent advances in wireless communication, low power sensors and microcontrollers enable the deployment of large-scale wireless sensor networks. A fundamental problem in wireless sensor networks is localization i.e. determination of geographical locations of sensor nodes. This paper addresses the problem of location discovery of the nodes in wireless sensor network. We propose a localization technique by means of which a sensor node can determine its location with enhanced accuracy by listening wireless transmissions from three or more beacons. The proposed method is based on RSSI technique that does not require any additional complexity in construction of the sensor nodes. Performance of the proposed localization scheme is compared with one of the existing schemes. Qualitative analysis is done considering communication, storage and computational overhead as performance metrics, whereas quantitative analysis is done considering localization error as a performance metric. The results confirm our scheme's supremacy over the competing scheme.
AB - Recent advances in wireless communication, low power sensors and microcontrollers enable the deployment of large-scale wireless sensor networks. A fundamental problem in wireless sensor networks is localization i.e. determination of geographical locations of sensor nodes. This paper addresses the problem of location discovery of the nodes in wireless sensor network. We propose a localization technique by means of which a sensor node can determine its location with enhanced accuracy by listening wireless transmissions from three or more beacons. The proposed method is based on RSSI technique that does not require any additional complexity in construction of the sensor nodes. Performance of the proposed localization scheme is compared with one of the existing schemes. Qualitative analysis is done considering communication, storage and computational overhead as performance metrics, whereas quantitative analysis is done considering localization error as a performance metric. The results confirm our scheme's supremacy over the competing scheme.
KW - Wireless sensor network
KW - localization
KW - received signal strength indication
KW - trilateration
UR - http://www.scopus.com/inward/record.url?scp=84858983454&partnerID=8YFLogxK
U2 - 10.1109/ANTS.2011.6163649
DO - 10.1109/ANTS.2011.6163649
M3 - Conference contribution
AN - SCOPUS:84858983454
SN - 9781467300933
T3 - International Symposium on Advanced Networks and Telecommunication Systems, ANTS
BT - ANTS 2011 - 5th IEEE International Conference on Advanced Networks and Telecommunication Systems
T2 - 5th IEEE International Conference on Advanced Networks and Telecommunication Systems, ANTS 2011
Y2 - 18 December 2011 through 21 December 2011
ER -