Enhancement of an RSSI-Based Min–Max Localization Method with Forbidden Zone Consideration for Indoor Corridor Environments

Booranawong, Apidet; Thammachote, Peeradon; Chaoboworn, Vasin; Saito, Hiroshi

doi:10.1007/s11220-023-00437-2

Cited by 1 publication

(3 citation statements)

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“…Experiments have been performed in the corridor of the hospital building, the 10th floor, Hat-Yai, Thailand. [33][34][35] This test field with the lower corridor area, the upper corridor area, and the empty area of the building is shown in Figure 5.…”

Section: Methodsmentioning

confidence: 99%

“…Such factors can affect radio signal propagation and RSSI measurement. [33][34][35] Zolertia Z1 motes as low-power wireless sensor nodes 36,37 are used to operate the wireless network. The Z1 mote is equipped with a MSP430F2617 microcontroller and a CC2420RF module.…”

Section: Methodsmentioning

confidence: 99%

“…The test field; the corridor scenario. [33][34][35] the output power of Z1 are set to 250 kbps and 0 dBm, and a carrier-sense multiple-access with collision-avoidance (CSMA/CA) protocol is available for medium access. As illustrated in Figure 5, we attach Z1 with a tripod, and it is placed 1 m above the ground level.…”

Section: Methodsmentioning

confidence: 99%

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Development of an indoor corridor localization system based on a WCL method with corridor area selection and distance compensation

Wattananavin,

Booranawong,

Saito

2024

Int J Communication

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SummaryIn this paper, a received signal strength indicator (RSSI)‐based weighted centroid localization (WCL) method for indoor corridor scenarios is developed and tested. The contribution of the proposed system is that, to scope the area of an unknown target position, the possible corridor area where the target node should be located is automatically selected, and only reference nodes deployed in such an area are applied for position estimation. Additionally, to improve the estimation precision, distance values converted from measured RSSIs and used for the WCL are also compensated to alleviate the RSSI variation problem caused by physical environments. Therefore, our methods can save a number of reference nodes to be used, while localization accuracy can also be achieved. Experiments in the corridor environment using a 2.4 GHz IEEE 802.15.4 wireless sensor network with four reference nodes deployed in the test field dimension of 22 m × 9.3 m have been performed. Experimental results demonstrate that the proposed method, which requires only two reference nodes, outperforms the original WCL method with four reference nodes by 53.053%, as indicated by average localization errors. The results also reveal that the proposed method provides error distances lower than the WCL method for all test target positions, while all estimated positions fall within the corridor areas by 100%.

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Section: Methodsmentioning

confidence: 99%