Wide-area

Relating to, encompassing, or operating over a large geographic space. This term typically describes networks, systems, or phenomena that extend beyond a localized environment, covering regions, countries, or even the globe. wide-area technologies are designed to facilitate communication, data transfer, and resource sharing across significant distances, often utilizing various infrastructure like satellites, fiber optic cables, and radio waves to establish connectivity. The defining characteristic is breadth; a wide-area implementation prioritizes coverage and accessibility across a large area above a specific density or highly localized scope.

Wide-area meaning with examples

• The company implemented a wide-area network (WAN) to connect its offices across multiple states. This allowed seamless data synchronization and unified communication, streamlining operations and improving collaboration among the geographically dispersed teams. This extensive infrastructure facilitated efficient resource allocation and remote access to crucial business applications.
• To monitor environmental conditions across the entire national park, researchers deployed a wide-area sensor network. These sensors transmitted data in real-time on factors like temperature and water levels, helping identify threats. The data aided in making informed decisions about resource management. These insights supported conservation efforts.
• The organization leveraged a wide-area surveillance system to track movements across the city's expansive districts. This enabled a better understanding of traffic patterns, allowing for rapid response to events and ensuring safety. Cameras and other devices transmitted information in a coordinated way.
• Businesses are turning to wide-area data storage solutions to manage massive datasets generated by their global operations. Data centers in geographically diverse locations ensure data redundancy and minimal latency for users around the world. This reduces the risk of data loss and improves access times.
• The project relied on a wide-area weather forecasting model, drawing data from global observation networks. Improved accuracy benefited agriculture, disaster preparation, and public services, allowing for effective and rapid responses. Detailed prediction helped make important decisions.