IoT in Geolocation: Future trends and awareness
By TheWAY - 5월 24, 2019
IoT in Geolocation: Future trends and awareness
In the big world of IoT, location tracking becomes the next frontier! Location tracking for humans is already becoming an integral part of our lives, especially for navigation. Traditional technologies are not only expensive but they have their technical boundaries which prevent successful scaling. For the IoT geolocation to become a reality, you must be accurate extremely and significantly low cost.
Geolocation services have been around for a long time and used to provide the real-world location of objects like speed radars, mobile phones, and internet-connected computers. In old times, services were widely based on supporting GPS (Geographic Positioning System) which lacks indoor coverage and power efficiency which has given rise to many location technologies that use RFID, UWB (Ultra-Wide Band), Bluetooth and LoRa to provide indoor GPS-free geolocation.
IoT and Geolocation
The rise of IoT is increasing dramatically with the growing demands for geolocation services. It is proliferating at an exponential rate by the increasing billions of IoT-connected devices.
The complex applications can obtain accurate info about the location of people and their devices in this landscape to adapt the app logic into dynamic environments. A geolocation service is a virtual sensor that provides the position of physical objects from an IoT viewpoint as the operation of this virtual sensor is based on data derived by multiple physical sensors such as radio receivers, barometers, and accelerometers that are coupled with signals and data processing algorithms.
How Geolocation Services would be a core element of Future IoT platforms?
In the variant sectors of the economy, all the operations need to deploy general-purpose IoT platforms to build so-called smart factories, smart airports, smart utilities, smart hospitals and much more on the basis of few critical needs:
- All the generic IoT infrastructures avoid the need of deploying an ad-hoc infrastructure for a new IoT use case that is based on the emerging Low Power Wide Area Networks (LP WAN) technologies which take care of object communications, management, storage, security, IT integration and decreasing the cost of IoT deployments.
- Emerging data analytics tools like Big Data and Deep Learning technologies allows the raw data collected by IoT infrastructures into high-level knowledge and business intelligence tools. The value these tools bring to the IoT is pervasive into many organizations.
Integrating the geolocation as a core service of IoT infrastructure provides multiple benefits which include:
- Removes the need for a separate implementation of geolocation functionalities for each of the various use cases by reducing development costs and increasing the potential economy scale.
- Ease out the integration and interoperability of the location sensors with other elements of the IoT platform such as maintenance of gas bottle on a large industrial or healthcare site by combining a maintenance sensor with a position sensor and workflow specific logic.
IoT’s location: Spreading Awareness
Integration of geolocation within IoT platforms opens up new horizons in the development of IoT-based geolocation use cases. The innovation in geolocation is gradually moving from the deployment of location-aware devices to the provision of integrated location services which exploit analytics and data mining to drive location awareness among business processes.
Enterprises will be offering new ways to leverage location information in their workflow processes as the innovators have a rising opportunity to develop the next gen location-aware services by offering several benefits before their competitors. One should also look at some negative side or challenges when integrating geolocation services within IoT platforms.
Provides support to multiple use cases based on a single location infrastructure:
There ain’t any ‘one size for all’ location technology or method that will fit all use cases. Hence, the applicability of each geolocation methods will depend on multi-dimensional requirements of the use cases like autonomy, precision, object number, scope, and size a physical environment. Few emerging geolocations will create awareness among IoT infrastructures by supporting these multiple methods meet such varying use case requirements.
Low-power and Scalable indoor operations:
Currently, the IoT infrastructures are getting deployed in large-scale sites by interconnecting these objects they are offering to run on battery power. Geolocation aware infrastructures are coping with scalability and low power requirements at the same time.
These challenges will help to boost the market penetration of IoT-based geolocation services as the future of IoT is location-aware without any shadow of doubt and you should be prepared for its arrival. Keep Learning!
SOURCE: https://www.geospatialworld.net/blogs/iot-in-geolocation-trends/
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