全球导航卫星系统（GNSS）的用户期望获得即时的定位信息。对于标准定位，这通常是不可能的，因为要实现这一点，必须至少识别四颗卫星，并且接收到其完整数据。在信号不佳的条件下，从卫星到接收机的数据下载可能需要几分钟、几小时甚至完全失败。通过为 GNSS 接收机数据补充来自移动网络小区的信息，以提高性能，有益于众多应用。
IoT Location-as-a-Service provides reliable and fast location information and delivers accurate assistance and error correction data for constrained IoT devices, even in challenging conditions, with the highest levels of availability and delivery quality.
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IoT Location-as-a-Service use cases
Small asset tracking
Smaller asset trackers include battery operated devices that require days or weeks of power autonomy and wireless connectivity. Reasonable position accuracy is needed with a few position updates per day. Location information is not necessarily used on the device itself, but by a cloud service.
Global asset tracking
Tracking applications that span broad regions or even globally may require large power autonomy (months or even years). Positioning in the cloud extends the life of energy constrained IoT applications. Commercial grade real time online assistance provides tremendous advantages in terms of performance, availability, and reliability.
A vast portion of constrained IoT devices need location information to do their job. Today’s global supply chains and inventory management structures require reliable fast location information in combination with accurate assistance data to monitor and deliver perishable or high-value assets to the very last mile.
Poor or no GNSS environments
A GPS receiver cannot determine a position when satellite signals are unavailable, such as urban canyons, within tunnels, buildings, or metallic containers. For fleet and supply chain management, it’s unacceptable. Mobile network-based location using cellular attributes provide an essential alternative to no position fix at all.
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