An Emergency Network for Natural Disasters

Engineering researchers at the University of Arkansas are developing an emergency communications network that will maintain operation during natural disasters and provide critical warnings and geographic information to people affected by the disasters. The researchers are honing and testing the system now and expect to deploy a pilot network at the end of 2012.

The system, which the researchers call an emergency “mesh,” is self-sustainable and solar-powered, which means it would provide continuous, uninterrupted service even when the power grid or wireless communication systems are out of commission. Users would receive critical information on popular devices such as mobile phones, personal digital assistants, tablets and laptops.

“The ultimate goal of this project is to save human lives,” said Nilanjan Banerjee, assistant professor of computer science and computer engineering. “Deployment of this system could warn people to get out of harm’s way and could help emergency services personnel reach victims much faster. This last part is critically important because we know that many deaths occur in the minutes and hours after a disaster strikes. It is also important that the system communicates using popular, ubiquitous devices, because during these chaotic and highly stressful moments, people need to rely on something that is user-friendly and already familiar to them.”

The mesh can be thought of as a network of nodes that blanket a geographic area. Similar to servers, each solar-powered node contains data – geographic information – that can be downloaded to a user or communicated node-to-node, if necessary. The latter function is critically important in the event that a node or nodes fail due either to variability inherent in renewable energy or the likelihood of extreme environmental conditions in the aftermath of a natural disaster. If either or both happen, the mesh will automatically redistribute data to maintain service.

The geographic information will include a map, similar to the Google map service, that shows areas heavily affected by a disaster as well as routes around these areas.The system’s online demonstration displays a disaster area in red, while a green line shows an unobstructed or optimal route to an aid station or hospital.

Banerjee said several issues must be resolved before a practical and fully functioning system can be deployed. For sustainable operation on small solar panels, the nodes must operate on extremely low power yet still have enough power to send map-based information to users.

A hardware team led by Pat Parkerson, associate professor of computer science and computer engineering and co-principal investigator on the project, is developing and testing different hardware systems in an effort to strike this balance.

Also, a team led by Jack Cothren, associate professor of geosciences and director of the university’s Center for Advanced Spatial Technologies, is testing sophisticated GIS software that can function well on a device that has low power and limited resources. Another challenge is the geographical placement of nodes to ensure that optimal connectivity can be maintained regardless of topography.

To address all of these obstacles and test a combination of hardware and software, the researchers will deploy a 40-node mesh in downtown Fayetteville toward the end of 2012.

Banerjee said the technology could also apply to non-emergency scenarios, such as hiking in extreme wilderness areas or military operations in deserts or other remote locations.

The researchers received a $485,000 grant from the National Science Foundation to develop the system.

Featured

  • New Report Reveals Top Trends Transforming Access Controller Technology

    Mercury Security, a provider in access control hardware and open platform solutions, has published its Trends in Access Controllers Report, based on a survey of over 450 security professionals across North America and Europe. The findings highlight the controller’s vital role in a physical access control system (PACS), where the device not only enforces access policies but also connects with readers to verify user credentials—ranging from ID badges to biometrics and mobile identities. With 72% of respondents identifying the controller as a critical or important factor in PACS design, the report underscores how the choice of controller platform has become a strategic decision for today’s security leaders. Read Now

  • Overwhelming Majority of CISOs Anticipate Surge in Cyber Attacks Over the Next Three Years

    An overwhelming 98% of chief information security officers (CISOs) expect a surge in cyber attacks over the next three years as organizations face an increasingly complex and artificial intelligence (AI)-driven digital threat landscape. This is according to new research conducted among 300 CISOs, chief information officers (CIOs), and senior IT professionals by CSC1, the leading provider of enterprise-class domain and domain name system (DNS) security. Read Now

  • ASIS International Introduces New ANSI-Approved Investigations Standard

    • Guard Services
  • Cloud Security Alliance Brings AI-Assisted Auditing to Cloud Computing

    The Cloud Security Alliance (CSA), the world’s leading organization dedicated to defining standards, certifications, and best practices to help ensure a secure cloud computing environment, today introduced an innovative addition to its suite of Security, Trust, Assurance and Risk (STAR) Registry assessments with the launch of Valid-AI-ted, an AI-powered, automated validation system. The new tool provides an automated quality check of assurance information of STAR Level 1 self-assessments using state-of-the-art LLM technology. Read Now

  • Report: Nearly 1 in 5 Healthcare Leaders Say Cyberattacks Have Impacted Patient Care

    Omega Systems, a provider of managed IT and security services, today released new research that reveals the growing impact of cybersecurity challenges on leading healthcare organizations and patient safety. According to the 2025 Healthcare IT Landscape Report, 19% of healthcare leaders say a cyberattack has already disrupted patient care, and more than half (52%) believe a fatal cyber-related incident is inevitable within the next five years. Read Now

New Products

  • Camden CV-7600 High Security Card Readers

    Camden CV-7600 High Security Card Readers

    Camden Door Controls has relaunched its CV-7600 card readers in response to growing market demand for a more secure alternative to standard proximity credentials that can be easily cloned. CV-7600 readers support MIFARE DESFire EV1 & EV2 encryption technology credentials, making them virtually clone-proof and highly secure.

  • Mobile Safe Shield

    Mobile Safe Shield

    SafeWood Designs, Inc., a manufacturer of patented bullet resistant products, is excited to announce the launch of the Mobile Safe Shield. The Mobile Safe Shield is a moveable bullet resistant shield that provides protection in the event of an assailant and supplies cover in the event of an active shooter. With a heavy-duty steel frame, quality castor wheels, and bullet resistant core, the Mobile Safe Shield is a perfect addition to any guard station, security desks, courthouses, police stations, schools, office spaces and more. The Mobile Safe Shield is incredibly customizable. Bullet resistant materials are available in UL 752 Levels 1 through 8 and include glass, white board, tack board, veneer, and plastic laminate. Flexibility in bullet resistant materials allows for the Mobile Safe Shield to blend more with current interior décor for a seamless design aesthetic. Optional custom paint colors are also available for the steel frame.

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.