5 Essential Techniques For Improving IoT Deployment Efficiency

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IoT Deployment
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5 Essential Techniques For Improving IoT
Deployment Efficiency

• IoT use cases involve both stationary and mobile
  IoT devices, each having its own set of
  deployment challenges.
• A smart building equipped with building
  automation technologies is a typical example of a
  stationary application where IoT sensors and
  equipment are deployed across the building in
  static locations.

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• If those locations lack good signal quality, the
  devices fail to perform as expected.
• On the other hand, if we consider smart city
  public transportation systems, the deployed IoT
  sensors in the vehicles, etc. are mobile and have
  to constantly adapt to variabilities in cellular
  signal quality in various locations.

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• Suboptimal signal quality is one of the top
  reasons for performance inefficiencies that are
  commonly encountered in both stationary and
  mobile IoT deployments.
• These inefficiencies ultimately impact the entire
  IoT application use case.
• To address these challenges head-on you need to
  adopt some key techniques that add network
  intelligence and insights to your existing IoT
  deployment workflows.

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Vital Considerations for Efficient IoT Deployment

• Strategic planning
• Effective Management
• Avoid the Chaos

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Benefit from the N-View Advantage

• Nivids N-view supports both stationary and
  mobile IoT sensor-based applications. It works
  across a wide variety of sensor technologies from
  NB-IoT, LTE-M, and Cat-M1/M2 to LoRa and 5G.

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By integrating N-View in your IoT deployment
process you can take advantage of its five key
capabilities

• Intelligence
• Insights
• Cost Efficiency
• Flexibility
• Edge-Cloud Advantage
• N-View helps you validate your IoT network design
• using real measurement data for predictable
• runtime performance.

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