{"id":32280,"date":"2026-01-21T17:01:38","date_gmt":"2026-01-21T17:01:38","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/optimizing-age-of-information-in-piggyback-networks-with-recurrent-data-generation\/"},"modified":"2026-01-21T17:19:47","modified_gmt":"2026-01-21T17:19:47","slug":"optimizing-age-of-information-in-piggyback-networks-with-recurrent-data-generation","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/optimizing-age-of-information-in-piggyback-networks-with-recurrent-data-generation\/","title":{"rendered":"Optimizing Age-of-Information in Piggyback Networks with Recurrent Data Generation"},"content":{"rendered":"<p>Age-of-information ({AoI}) is a critical metric that quantifies the freshness of data in communication systems. In the era of the Internet of Things ({IoT}), data collected by resource-constrained devices often need to be transmitted to a central server to extract valuable insights in a timely manner. However, maintaining a stable and direct connection between a vast number of {IoT} devices and servers is often impractical. The Store-Carry-Forward ({SCF}) communication paradigm, such as Piggyback networks, offers a viable solution to address the data collection and transmission challenges in distributed {IoT} systems by leveraging the mobility of mobile nodes. In this work, we investigate {AoI} within the context of patrolling data collection drones, where data packets are generated recurrently at devices and collected by a patrolling drone to be delivered to a server. Our objective is to design a patrolling route that minimizes the Maximum Age-of-Information ({MAI}) across the system. We demonstrate that determining whether a route with an {MAI} below a certain threshold can be constructed is {NP}-Complete. To address this challenge, we propose two approaches with approximation guarantees. Our evaluation results show that the proposed approaches can achieve near-optimal routes in reasonable time across various scenarios<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Age-of-information ({AoI}) is a critical metric that quantifies the freshness of data in communication systems. In the era of the Internet of Things ({IoT}), data collected by resource-constrained devices often need to be transmitted to a central server to extract valuable insights in a timely manner. However, maintaining a stable and direct connection between a vast number of {IoT} devices and servers is often impractical. The Store-Carry-Forward ({SCF}) communication paradigm, [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[30],"class_list":["post-32280","publication","type-publication","status-publish","hentry","publication-type-article"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32280","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32280\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32280"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32280"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}