Latest Breaking News On - Or the internet of things iot and machine to m2m solutions applications senra is currently deploying lpwans throughout india for projects which require secure - Page 1 : vimarsana.com
New Delhi [India], October 12 (ANI/PRNewswire): SenRa, a PAN-India LoRaWAN public network operator, today announces that Cranberry Analytics, a water management company based in India, has chosen to use SenRa's public LoRaWAN network for their upcoming smart water metering project in Goa. Recently, India's Panaji PWD awarded its smart water metering contract to Cranberry Analytics with an initial phase of replacing 3,094 consumer-grade mechanical water meters with LoRaWAN enabled ultrasonic smart water meters. In support of this project, SenRa will be deploying their public network across Panaji to enable the streaming of the smart water meter data. "Having worked on multiple such projects in the past 10 years, both with mechanical water meters and smart devices, we understand the nuances of this technology spectrum and how critical it is to have a stable and reliable network partner for the success of such projects. Since SenRa is one of the very few network providers in
New Delhi [India], October 7 (ANI/PRNewswire): SenRa, a PAN India LoRaWAN public network operator, today announced the release of an Internet of Things (IoT) network planning and survey software, Netsy. The software is the latest edition to SenRa's portfolio of service and solution offerings, that allow network operators to improve the quality and reliability of public and private IoT network deployments. Netsy will be demonstrated for the first time at GITEX Technology Week 2022, from October 10-14, 2022, at Dubai World Trade Center. SenRa had a thrilling five-year journey in the Indian IoT market, during which it has achieved significant massive-IoT milestones in a variety of verticals. During this journey, SenRa's deep experience in solving a broad range of IoT problems has allowed them to identify the issues faced by IoT network operators, such as difficulty in visualizing and planning LPWA networks, identification of potential deployment issues, and optimization of network