TY - GEN
T1 - Analysis of RSSI Feasibility for Sensor Positioning in Exterior Environment
AU - Dong, Qian
AU - Zhu, Feng
AU - Cai, Yanning
AU - Fang, Liangda
AU - Lu, Mi
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/21
Y1 - 2021/4/21
N2 - Mobility of nodes in Wireless Sensor Networks (WSNs) brings formidable challenges to protocol design. A mobility estimation algorithm is the prerequisite for evaluating link quality, localizing nodes and excogitating a signal threshold to trigger possible handoff. The radio Received Signal Strength Indicator (RSSI) integrated in sensors has been widely used due to its low economy cost and moderate energy consumption. The distance of separation between adjacent nodes can be estimated by reading RSSI when a good portion of electromagnetic wave propagates in a line-of-sight link. However, the measurement results of RSSI fluctuate heavily because of fading signal and disturbing background noise. This paper investigates the reliability of RSSI for exterior sensor positioning. To display the one-to-one mapping between RSSI and distance, a series of static experiments are conducted and a reference curve is established. To mitigate the fluctuation of raw RSSI samples, a set of mobile experiments are carried out and five filtering methods are employed. The mitigation effects are evaluated by the Root Mean Square Error (RMSE) values. Though the overall optimal RMSE achieves 0.84, which is significantly lower than that of the raw samples, it is still possible that one RSSI corresponds to two or more distances, and the maximum difference between them can reach 2.97 meters. Because this error is intolerable for many applications, it is not authentic to gauge the distance between mobile nodes only based on RSSI in exterior environment.
AB - Mobility of nodes in Wireless Sensor Networks (WSNs) brings formidable challenges to protocol design. A mobility estimation algorithm is the prerequisite for evaluating link quality, localizing nodes and excogitating a signal threshold to trigger possible handoff. The radio Received Signal Strength Indicator (RSSI) integrated in sensors has been widely used due to its low economy cost and moderate energy consumption. The distance of separation between adjacent nodes can be estimated by reading RSSI when a good portion of electromagnetic wave propagates in a line-of-sight link. However, the measurement results of RSSI fluctuate heavily because of fading signal and disturbing background noise. This paper investigates the reliability of RSSI for exterior sensor positioning. To display the one-to-one mapping between RSSI and distance, a series of static experiments are conducted and a reference curve is established. To mitigate the fluctuation of raw RSSI samples, a set of mobile experiments are carried out and five filtering methods are employed. The mitigation effects are evaluated by the Root Mean Square Error (RMSE) values. Though the overall optimal RMSE achieves 0.84, which is significantly lower than that of the raw samples, it is still possible that one RSSI corresponds to two or more distances, and the maximum difference between them can reach 2.97 meters. Because this error is intolerable for many applications, it is not authentic to gauge the distance between mobile nodes only based on RSSI in exterior environment.
KW - RSSI
KW - distance
KW - localization
KW - outdoor positioning
KW - wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85107280853&partnerID=8YFLogxK
U2 - 10.1109/WTS51064.2021.9433708
DO - 10.1109/WTS51064.2021.9433708
M3 - Conference Proceeding
AN - SCOPUS:85107280853
T3 - Wireless Telecommunications Symposium
BT - 2021 Wireless Telecommunications Symposium, WTS 2021
PB - IEEE Computer Society
T2 - 20th Annual Wireless Telecommunications Symposium, WTS 2021
Y2 - 21 April 2021 through 23 April 2021
ER -