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Intelligent Internet of Things Architecture to Improve First Responder Communications

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: HSHQDC-14-C-00026
Agency Tracking Number: HSHQDC-14-R-00005-H-SB014.1-005-0005-I
Amount: $99,958.85
Phase: Phase I
Program: SBIR
Solicitation Topic Code: H-SB014.1-005
Solicitation Number: HSHQDC-14-R-00005
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-05-01
Award End Date (Contract End Date): 2014-10-31
Small Business Information
3978 Cesar Chavez St
San Francisco, CA 94131-2004
United States
DUNS: 078352055
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Maarten Sierhuis
 (415) 343-5361
Business Contact
 Rachna Dhamija
Title: CEO
Phone: (415) 343-5361
Research Institution

Machine-to-machine communications (M2M) and the Internet of Things (IoT) are revolutionizing many industries and improving communications and operations, however adoption in public safety is still in its infancy.

The emergence of first responder broadband networks introduces new ways to respond to incidents. Devices worn by first responders, or placed on victims during triage, can transmit voice, along with two-way video and data streams, including location, vital signs and environmental conditions, allowing unprecedented incident management capability.

Today, first responders are starting to use wearable devices, such as sensors embedded in firefighter suits, and head-mounted cameras and heads-up displays used in law enforcement. However, most of these devices do not interoperate with each other or with existing land mobile radio (LMR) networks, which will realistically remain the primary voice communication devices for many years to come. Thus, interoperability between heterogeneous devices and networks remains a challenge for effective emergency response.

In this effort, Ejenta will develop a scalable technical architecture that allows heterogeneous communication networks and wearable devices to interoperate to improve first responder communications. The architecture will use a standards based approach and will incorporate big data technologies that allow first responders to rely on increasingly large amounts of live streaming telemetry data (e.g., from wearable cameras and vital signs sensors, to road side sensors to social media feeds). The architecture will incorporate cloud-based intelligent agent services to route data and reduce information overload, with the goal of increasing first responder situational awareness and supporting real-time decision making capabilities.

* Information listed above is at the time of submission. *

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