Overview

NEWS Sensors, represent Network Early Warning System (NEWS) designed to dramatically enhance network reliability and performance within enterprise wireless environments. By integrating state-of-the-art sensor technology with robust AI-driven analytics, NEWS Sensors deliver exceptional visibility, proactive management, and rapid troubleshooting capabilities.

Core Components

  • Intent Engine: Clearly defines operational outcomes to align network performance with business objectives.
  • Automation Engine: Facilitates swift and automated network diagnostics, significantly reducing resolution times.
  • Analytics Engine: Provides predictive analytics to foresee and preemptively resolve potential network disruptions.
  • Closed Loop ML/AI Engine: Continuously optimizes network performance using self-learning algorithms to adapt dynamically to changing network conditions.

Key Functionalities

  • Advanced Predictive Network Analytics: Early identification and automated remediation of network anomalies to prevent disruptions before user impact occurs.
  • Seamless Sensor Deployment: Designed for rapid and unobtrusive integration into existing network infrastructures, supporting both legacy and modern systems.
  • Real-time, Centralized Dashboard: A comprehensive, user-friendly interface offering extensive performance metrics and real-time network health insights.
  • Scalable, Flexible Architecture: Built on Docker technology with powerful API support, allowing effortless scalability and integration across diverse network environments.
  • Comprehensive Synthetic Testing Suite: Automates extensive performance tests across key network KPIs, providing consistent and reliable performance metrics.

Unique Capabilities

  • Edge Analytics: Immediate data processing at sensor locations enables faster decision-making and minimal latency.
  • Versatile Sensor Hardware: Supports diverse connectivity options including Wi-Fi, LTE, BLE, and LoRaWAN, complemented by integrated GPS for precise location tracking and ease of deployment.
  • Advanced Cybersecurity: Strong encryption standards and comprehensive security protocols ensure maximum protection against cyber threats.

Practical Use Cases

  • Real-time performance monitoring of critical Cloud and SaaS applications.
  • Advanced diagnostics for VoIP and WebRTC communication platforms.
  • Predictive maintenance and anomaly detection in enterprise wireless networks.
  • Compliance assurance in sectors requiring strict regulatory adherence, such as finance and healthcare.

Enhancing Enterprise Networks with NEWS Sensors – Proactive Reliability, Redefined

Managing enterprise wireless networks effectively is increasingly challenging, but NEWS Sensors revolutionize this task by combining advanced sensor technology and AI-driven predictive analytics.

Why NEWS Sensors?

Traditional reactive troubleshooting methods drain resources and are inefficient in quickly resolving issues. NEWS Sensors proactively identify and mitigate potential disruptions before they affect users, transforming network management into a proactive, predictive operation.

Leading-Edge Innovations

Leveraging sophisticated machine learning algorithms and edge analytics, NEWS Sensors provide detailed and actionable insights directly at the network edge, ensuring unparalleled reliability and operational efficiency.

Comprehensive Real-World Applications

From maintaining robust VoIP communications to ensuring strict regulatory compliance in finance and healthcare environments, NEWS Sensors excel in delivering comprehensive, proactive network management solutions.

Empower Your Network with NEWS Sensors

Why Choose NEWS Sensors?

  • Proactive Detection: Identify and resolve network issues before user impact.
  • Intelligent Analytics: AI-driven insights for precise diagnostics and proactive management.
  • Effortless Integration: Quick deployment into existing network frameworks.
  • Complete Network Visibility: Unified dashboard with detailed, real-time analytics.

Key Advantages

  • Maximized Productivity: Reduced downtime through proactive network management.
  • Operational Savings: Lower costs associated with troubleshooting and downtime.
  • Superior User Experience: Reliable, uninterrupted network services.

Ideal Applications

  • Enterprise Wireless Networks
  • Compliance Monitoring in Healthcare and Financial sectors
  • Real-Time Communication Infrastructure

NEWS Sensors – Product Features

NEWS AI Network Sensors give enterprises proactive, always-on visibility into their wireless networks by combining advanced sensor hardware with AI-driven analytics. They continuously benchmark Wi-Fi performance and service levels, complementing access points with real end-user experience data and automatic compliance alerting. With system-wide WLAN insight, they help teams quickly pinpoint whether issues stem from wired, wireless, or client devices and enable them to troubleshoot and fix problems remotely—improving reliability, security, and overall service quality across sites.

Key Specifications

Hardware Capabilities

  • Power Options: PoE, Micro USB with up to 10 hours battery backup.
  • Connectivity:
    • Wi-Fi 802.11ac (Wave2) with 3T3R MIMO antenna
    • Wi-Fi 6 (802.11ax) capable prototypes
    • BLE 5.0 Mesh support
    • 3G/4G LTE, LoRaWAN backhaul options
  • GPS: Integrated for easy outdoor mesh-sensor deployments and automatic onboarding.
  • Memory Options: 32GB, 64GB, 512GB, 2TB with 1GB~4GB RAM.
  • Camera: Integrated with variable lens options (2.0 mm to 5.7 mm) for heights from 2.4m to 20m (8 ft to 65 ft).
  • Plug ‘n’ Play: USB 3.0 hot-plug support for mesh deployments; supports edge computing.
  • Secure Data Logging: Configurable retention of up to 60+ days.

Software and Security

  • MQTT & RESTFUL Bridge: Secure, real-time data monitoring and troubleshooting.
  • Streaming Support: gRPC for active/passive RF-network spectrum analysis.
  • Containerized Applications: On-demand synthetic testing suitable for POS, healthcare, factories, education, transport, and retail.
  • Wireless Backhaul: Robust onboarding including hidden SSID support.
  • Security Protocols: Comprehensive RADIUS server and AAA security settings, monitoring client onboarding issues with RCA.

Advanced Analytics & AI Features

  • Automatic Device Classification: Distributed sensors for automated detection, notification, and mitigation.
  • Predictive Analytics: Machine learning engine that monitors current trends and provides predictive insights and automated network self-governance.
  • Contextual UI: Single pane dashboard with customizable templates and themes.

Important KPIs Monitored

  • RSSI
  • Noise Floor
  • SNR/SINR
  • Airtime/Channel Utilization
  • Throughput
  • Packet Loss
  • Jitter
  • Latency
  • MOS
  • Co-Channel Interference (CCI)

Ideal Applications

  • Enterprise Networks: Robust monitoring and maintenance.
  • Compliance Sensitive Areas: Healthcare, finance, PCI compliance.
  • Real-Time Communication: VoIP, video conferencing, WebRTC applications.
  • Public Infrastructure: Hospitals, education, malls, libraries, transport hubs.

smart sensor

Distributed AI Smart Sensors are integrated with NEWS platform

  • Intelligent-Edge agents with inbuilt machine learning algorithms
  • Identification of the problems at the source
  • On-premises advanced sensor hardware
  • Maximizing network uptime, device connectivity & network ROI
  • Edge Analytics as the core USP
  • Next-gen ML and Deep Neural Net/AI algorithms
  • Best fit solution for distributed organizations

Sprinkling of AI Sensors on Enterprise NW

AI Products

  • Wired,Lte,Nb-Iot Backhaul
  • Ble-Mesh
  • Poe Ieee 802.3af
  • Usb Charged Dc 5.1V/3.5Amps
  • Battery backup 3.7v/3800mah
  • 12.3 Megapixel Camera
  • eSim Support
  • Led Status Indication

Important KPIs for Validation & Troubleshooting

RSSI

Airtime / Channel Utilization (Duty cycle)

Minimum Basic Rate

Co-Channel Interference (CCI)

Channel Widths

Noise Floor

Throughput

SSIDs

Channel Reuse

Packet Loss

SNR/SINR

Cipher Suites

Retransmissions (retries)

Channels

Jitter

Latency

MOS

AI Productline Offerings

Active/Passive WIFI analytics sensor

Edge-analytics Fusion engine

Enterprise Software as a Service (SaaS) application

AI HW SPEC

  • 1 Multiple power options (PoE, Micro USB)
  • 2 10 Hours battery backup
  • 3 WIFI 802.11ac (Wave2) 3T3R MIMO antenna / 802.11ax(WIFI6) radio chipset compatible HAT
  • 4 BLE 5.0 MESH support
  • 5 4G LTE / LoRaWAN configurable backhaul
  • 6 Inbuilt GPS(Enables outdoor MESH-Sensor deployments easy, Fast-NTP Sync up; seamless automatic on-boarding upon power-on)
  • 7 FLASH Memory(32GB,64GB,512GB,2TB) and 1GB~8GB RAM
  • 8 Integrated camera (variable lens Options ranging from 2.0 mm to 5.7 mm supporting heights from 2.4 m to 20 m (8 ft up to 65 ft) )
  • 9 USB 3.0 bridge enables Plug ‘n’ Play / Hot plug support (Enterprise Sensor MESH-deployment sensor can be turned on to carter AI @ EDGE [Not relying on the connection with the cloud] WAN link not required)
  • 10 Secure data-logging retention 60+ days ( software configurable)

Synthetic Test Suites

WebAuth

  • Onboarding events test(Wired/Wireless)
  • Splash page test
  • Internal WebAuth test
  • External Webauth test
  • Virtual IP test
  • Passthrough + AAA test

Traceroute

  • Number of hops
  • TCP/UDP/ICMP protocol
  • Path-MTU
  • Hop-by-Hop RTT
  • DSCP marking
  • Destination TCP/IP port

Security Guard

  • Against Wi-Fi Pineapple attacks
  • MIM attacks , BW-Stealing , Continuous request redirections
  • Deep packet inspection into DHCP DORA and EAP timing metrics , WI-Fi L1,L2 events

Speedtest

  • Download speed
  • Upload speed
  • Custom server

TCP-based PING test

  • Packet Loss
  • Round-Trip Time
  • DSCP marking
  • MTU and DF setting
  • Custom Port

VoIP Testing

  • Mean Opinion Score
  • Packet Loss
  • Jitter G711, G729, G723, G726, G728

PING

  • End-to-End connectivity
  • Packet Loss
  • Round-Trip Time
  • DSCP marking
  • MTU and DF setting

RADIUS

  • CHAP , PAP onboarding
  • EAP-TLS , KEY-Ex,Pass-key
  • Loopback test
  • Wired/Wireless Events onboarding test
  • RADIUS failure events streaming test

PAYLOADS

  • Payload decoding test
  • Protocol sequencing test
  • MAC-IP mapping test
  • BW throttling test
  • Traffic shaping test
  • QoS/QoE test

Real-Time Data About Network

Run tests between agents and other network hosts. Automated tests deliver real-time data about network and application performance, enabling Mobilecomm NW Sensors to detect the problems before the end-users do.

NW AI Sensors

ThinkAIOT system will automatically recognize and notifiy your it department of wifi/nw concerns even before they turned into problems – and recommended solutions

Network Uptime

Optimize Network Uptime performance by testing, throughput, bandwidth, and other matrices.

Boost Speed

Get high Internet speeds to Download/Upload files using your Local Area Network.

Monitor Signal

Monitor wireless interference of signals for better performance of your wireless connection.

Wi-Fi Issues

Troubleshoot various Wi-Fi speeds and connectivity problems for better throughput.

Remote Locations

Get real-time visibility of the Wi-Fi use at remote locations.

Identify Devices

Identify devices/ buildings/ floors/ stores or campuses instantly.

Actions On Complaints

Take preventive action to prevent the occurrence and corrective action to prevent recurrence for complaints.

Connectivity & Network

Keep watch on the connectivity of your Wi-Fi Network, connected devices, and potency of the signal.

NEWS Dashboard

Network Early Warning (NEW) Platform Features

Incognito Engine

MCPS NEW machine-learning/AI platform incognito engine always keeps monitoring current trends and EYE view depicts predictive trends . Auto-Action mode enables to self-govern the Network

On-demand containerized

On-demand based containerized application performance synthetic testing (POS, MEDICARE, Factory-Floor logistics, Hospitals, Libraries, Schools/Universities, Malls, Transport sector, etc..)

Detection of MCPS Sensors

Distributed/Sprinkled MCPS sensors does automated detection , notification ,mitigation and provides detailed and actionable insights through MPCS NEW platform.

Monitoring & Troubleshooting

Secure MqTT + RESTFUL bridge , gRPC streaming support for live data monitoring and troubleshooting (Active/Passive RF-Network spectrum analysis)

Contextual UI

Single pane of glass contextual UI , Customizable reconfigurable templates , Reconfigurable NEON/White-lit themes

Security Settings

Security settings (RADIUS Server, AAA) , client onboard failures and its RCA , soft-spot markers prone failures

Wireless Backhaul

Wireless Backhaul based on-boarding, Hidden SSID support, Wireless link quality monitoring

Monitor Mode

Deep insights on Hostapd , Monitor mode state-machine visualizations

Classification

Automatic Device Classification

Active Network Sensor Features

Multipeer Call Monitoring

MOS-Score, Jitter, Call-Quality prediction based on WebRTC metrics and gives insights from 750+ data point

RESTFUL & Secure

MQTT bridge enables simultaneous communication channels. The bridge is a subset of the local MQTT traffic.

Video/image analytics

The camera integrated on to ThinkAIOT sensor enables video/image analytics along with standard WIFI test analytics.

Link quality monitoring

End to end link quality monitoring of LAN, WAN (Uplink/Downlinks) WiFi/Wired/BLE – Link Quality and VLAN config.

Real-time Troubleshooting

Troubleshooting of Real-Time Application sensors can gauge One-Way Audio, Delayed voice, Pixelated Video, the video call.

Foresee NW behavior

Security settings (RADIUS Server, AAA) , client onboard failures and its RCA , soft-spot markers prone failures

Automated Detection

Distributed/ Sprinkled ThinkAIOT sensors does automated detection, notification, mitigation and provides detailed.

Inbuilt GPS

Inbuilt GPS(Enables outdoor MESH-Sensor deployments easy, Fast-NTP Syncup;seamless automatic onboarding upon power-on)

Quality Camera

Integrated camera (variable lens Options ranging from 2.0 mm to 5.7 mm supporting heights from 2.4 m to 20 m (8 ft up to 65 ft))

SSID Support

Wireless Backhaul based on-boarding , Hidden SSID support , Wireless link quality monitoring.

Multiple Domains

Multiple-domains of interest reachability/ path-visualization can be known in one go.

Long Lasting Battery

Multiple power options (PoE,Micro USB) with 10 Hours battery backup

Synthetic test suite (Live and Historical)

Path Visualization / MTR

Site Reachability

Remote sensors logging / LIVE-PACKET CAPTURE & ANALYSIS

RF Scanner (WIFI,LTE,BLE)

Wired and Wireless interface only scheduled testing

Sensor interface Fall-back / Wireless backhaul

Single pane dashboard based Sensor metrics

Cloud connector outage , autonomous operation

Past Vs Current Vs Future Voice MoS score gauges , Video streaming quality detection

Wireless link quality gauges d) Guided automation and troubleshooting scaling of nodes deployment

Plug and play zero touch provisioning , TLS-Certs based device identification and provisioning , isolate and zonalize rogue Aps;IoT nodes

Traffic shaping , QoS-Levels monitoring , Protocol multiservice deep packet inspection

WebRTC

Peer–to-Peer

Multipeer

Device Test

The NEWS (Network Early Warning System) AI Sensor Platform is a vendor-neutral, EdgeAI-powered service assurance framework engineered to deliver predictive wired and wireless visibility across enterprise, campus, branch, and MSP environments. By combining distributed sensing, Deep Learning, and Artificial Neural Networks, NEWS provides instant insight into RF conditions, WLAN health, and end-to-end user experience—including VoIP/WebRTC quality, latency, jitter, loss, throughput, congestion, interference, BLE analytics, spectrum anomalies, roaming behavior, and composite experience scoring (Apex Score). The platform’s dockerized sensor architecture and on-prem MLOps pipeline ensure AP-agnostic operability across Aruba, Juniper, Cisco, Arista, Dell, HPE, Siemens, and other OEM infrastructures. NEWS automatically identifies, classifies, and prioritizes issues using ML severity scoring, grouping related degradations into higher-order incidents to eliminate noise and reduce false positives.

Its autonomous Collect → Monitor → Notify → Discover → Learn loop drives real-time anomaly detection, predictive drift forecasting, and proactive SLA deviation alerts, generating auto-built ticket templates to accelerate root-cause resolution. This self-evolving AI assurance fabric enables IT teams to fix problems before users experience disruptions, delivering zero-touch operational efficiency, multi-site observability, and a resilient, predictive network experience across all industry verticals.

The NEWS AI Sensor Platform is engineered as a vertically integrated service-assurance architecture that spans visibility, analytics, edge sensing, and wireless infrastructure interoperability. At the top of the stack, NEWS offers a Single-Pane-of-Glass Visibility Layer designed to consolidate all network, WLAN, and sensor-derived intelligence into one centralized management plane. This layer provides distributed sensor management, template-based configuration, live network packet capture, WLAN insights, event-driven intelligence, automated troubleshooting, X-domain adapters, and policy/process automation. The platform’s template editor and image management capabilities further enable streamlined provisioning workflows, empowering network engineering teams to drive configuration consistency across multi-vendor, multi-site deployments. AI-assisted network insights work continuously in the background to highlight degradations, misconfigurations, and dynamic anomalies before they impact business continuity.

Beneath this management plane lies the Predictive Analytics Engine, a machine learning and domain-intelligence pipeline responsible for transforming high-volume telemetry into actionable situational awareness. The analytics layer conducts wireless provisioning analysis, end-to-end QoS evaluation, Air-Gap threat detection, and policy validation—all enriched with ML-based clustering, root-cause acceleration, and cross-domain correlation. Using proprietary severity models, NEWS identifies degradations, groups related faults into incidents, and eliminates false positives through deep-learning based classifiers. The result is a proactive early-warning capability that forecasts service drift, predicts network failures, and enables closed-loop assurance. This analytics backbone communicates bi-directionally through a high-performance RESTful + gRPC bridge, which ensures efficient, low-latency telemetry transfer between cloud analytics and the distributed edge layer.

At the foundation of the architecture, the Intelligent Sensor Layer provides 24/7 real-time monitoring through fully plug-and-play edge devices. These sensors autonomously discover AP behavior, detect RF anomalies, analyze QoS impairments, classify congestion/interference patterns, and measure user-experience drift—including VoIP/WebRTC quality metrics—all without requiring on-site configuration or manual intervention. The platform maintains full interoperability with diverse Wireless Infrastructure and Access Point ecosystems, including enterprise-grade 802.11 a/b/g/n/ac/ax access points from major vendors. By combining plug-and-play edge sensing, high-throughput telemetry bridges, ML-driven analytics, and a unified visibility plane, the NEWS AI Sensor Platform delivers a predictive, autonomous, and vendor-neutral service assurance fabric capable of transforming traditional NOC operations into proactive, AI-augmented network reliability engineering.

Conclusion

NEWS Sensors represent a future-ready investment, guaranteeing enhanced reliability, reduced downtime, and improved overall network efficiency. Empower your enterprise with proactive network management and superior user experiences.