Telit’s ME910C1-J1 IoT module is now being used in a field trial of a delivery service application implemented by NTT DoCoMo. The Fujisawa Sustainable Smart Town trial highlights Telit's global reputation as the leader in advancing cellular low-power wide-area (LPWA) technologies such as LTE Cat M1 and Narrowband IoT (NB-IoT) to enable a wider range of IoT applications.
The ME910C1-J1 features Telit's simWISE technology, the world's first and only solution that replaces the traditional SIM card and tray with module-embedded SIM technology. This architecture significantly reduces the cost of manufacturing, deploying and maintaining connected products - major benefits in the highly cost-sensitive IoT market.
NTT DoCoMo is using the ME910C1-J1 at the Fujisawa Sustainable Smart Town, a joint public-private community development project in Fujisawa City, Kanagawa Prefecture. One usage example is that services delivering packages to homes can now track the cargo by getting a notification that the package has been delivered. The Fujisawa Sustainable Smart Town will show the world not only what the future of smart cities looks like, but also the fundamental role that low-power wide-area (LPWA) wireless technologies will play in enabling that future.
The ME910C1-J1 supports downlink and uplink data rates of 250-375 kbps, depending on the mode (M1 or NB1). Its Power Saving Mode (PSM) and extended Discontinuous Reception (eDRX) feature significantly extend battery life, enabling IoT applications that can't bear the cost of frequent battery replacement. The ME910C1-J1 also provides enhanced coverage, with up to +15dB/+20dB in maximum coupling loss (MCL) compared to the other cellular technologies, making it ideal for IoT applications deep inside buildings or in underground facilities.
The ME910C1-J1 also supports Telit's AppZone development environment, which simplifies product design with advanced, easy-to-use application development tools and APIs. By hosting the customer application in the module, AppZone enables developers to reduce power consumption, optimizing the solution's architecture and lowering bill of materials (BOM) costs.