The main aim of our project is to allow a device without any knowledge about its position in the indoor environment to execute its localization tasks efficiently. An indoor self-localized technique will be established using a point to the multipoint protocol, Long Range Wide Area Network (LoRaW
Development of Self Localization using LoRaWAN
The main aim of our project is to allow a device without any knowledge about its position in the indoor environment to execute its localization tasks efficiently. An indoor self-localized technique will be established using a point to the multipoint protocol, Long Range Wide Area Network (LoRaWAN) whose stages will include end nodes, network server, gateways and an application server. Hence, we set up a system of three gateways (transceivers) and an end node (receiver) where the transceivers are connected through Ethernet and hence we will be able to locate a receiver on a given map. An architecture assisting in gathering accurate localization information can be employed such as Received Signal Strength Indication (RSSI) and for this method, we will use the trilateration technique. Several simulations will be carried out for a selected area for tracking the location of a certain object, which will in turn define the accuracy in positioning of the target. We will be able to locate and live track any object in a specific area of interest. These self-localized models perform better in indoor environments where GPS can not work.
To develop a program, in which we will be able to locate and live track the target on the proposed floor plan.
In this project, our goal will be to establish a system of end nodes and gateways working on a trilateration principle in order to achieve better accuracy of the target’s position in an indoor environment. We will be using three gateways that can be connected to standard IP through Ethernet. This model will be a customized one, and by using ‘Thing Speak’ a round trip time of each gateway will be sent to the server afterward through which the data can be obtained through the application server. After that, we will make a program using curve fitting that will process the data on the given map. and will show the position of the target on the blueprint of the building.
It can be used in industry or any firm for keeping a track of different products and the cartons they are mostly stored in.
To develop a program, in which we will be able to locate and live track the target on the proposed floor plan by the use of three gateways placed at known positions while the end node attached to the target will move and our program will be able to track the target with the help of those gateways.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Lora End Nodes | Equipment | 1 | 10000 | 10000 |
| Gateways | Equipment | 3 | 18000 | 54000 |
| Portable WiFi device | Equipment | 1 | 6000 | 6000 |
| Total in (Rs) | 70000 |
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