{"componentChunkName":"component---src-templates-blog-post-js","path":"/blog/new-traffic-cop-algorithm-helps-a-drone-swarm-stay-on-task/","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"contentfulNfnPost":{"postTitle":"New “traffic cop” algorithm helps a drone swarm stay on task","slug":"new-traffic-cop-algorithm-helps-a-drone-swarm-stay-on-task","createdLocal":"2023-03-13 14:31:21.659519","publishDate":"None","feedName":"Autonomous Vehicle News","sourceUrl":{"sourceUrl":"https://news.mit.edu/2023/new-traffic-cop-algorithm-drone-swarm-wireless-0313"},"postSummary":{"childMarkdownRemark":{"html":"<p>For drones searching a disaster zone or robots inspecting a building, working with the freshest data is key to locating a survivor or reporting a potential hazard.\nBut when multiple robots simultaneously relay time-sensitive information over a wireless network, a traffic jam of data can ensue.\nThey’ve developed a method to tailor any wireless network to handle a high load of time-sensitive data coming from multiple sources.\nTheir new approach, called WiSwarm, configures a wireless network to control the flow of information from multiple sources while ensuring the network is relaying the freshest data.\nData priorityAs a solution, the team developed WiSwarm — a scheduling algorithm that can be run on a centralized computer and paired with any wireless network to manage multiple data streams and prioritize the freshest data.</p>"}}}},"pageContext":{"slug":"new-traffic-cop-algorithm-helps-a-drone-swarm-stay-on-task"}}}