Age Optimal Information Gathering and Dissemination on Graphs

We consider the problem of timely exchange of updates between a central station and a set of ground terminals V, via a mobile agent that traverses across the ground terminals along a mobility graph G=(V, E). We design the trajectory of the mobile agent to minimize peak and average age of information...

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Bibliographic Details
Main Authors: Tripathi, Vishrant (Author), Talak, Rajat Rajendra (Author), Modiano, Eytan H (Author)
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: IEEE, 2020-07-21T18:52:38Z.
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Online Access:Get fulltext
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042 |a dc 
100 1 0 |a Tripathi, Vishrant  |e author 
100 1 0 |a Massachusetts Institute of Technology. Laboratory for Information and Decision Systems  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
700 1 0 |a Talak, Rajat Rajendra  |e author 
700 1 0 |a Modiano, Eytan H  |e author 
245 0 0 |a Age Optimal Information Gathering and Dissemination on Graphs 
260 |b IEEE,   |c 2020-07-21T18:52:38Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/126289 
520 |a We consider the problem of timely exchange of updates between a central station and a set of ground terminals V, via a mobile agent that traverses across the ground terminals along a mobility graph G=(V, E). We design the trajectory of the mobile agent to minimize peak and average age of information (AoI), two newly proposed metrics for measuring timeliness of information. We consider randomized trajectories, in which the mobile agent travels from terminal i to terminal j with probability PiJ. For the information gathering problem, we show that a randomized trajectory is peak age optimal and factor-8H average age optimal, where H is the mixing time of the randomized trajectory on the mobility graph G. We also show that the average age minimization problem is NP-hard. For the information dissemination problem, we prove that the same randomized trajectory is factor-O(H) peak and average age optimal. Moreover, we propose an age-based trajectory, which utilizes information about current age at terminals, and show that it is factor-2 average age optimal in a symmetric setting. 
520 |a National Science Foundation (U.S.) (Grant AST-1547331) 
520 |a National Science Foundation (U.S.) (Grant CNS-1713725) 
520 |a National Science Foundation (U.S.) (Grant CNS-1701964) 
520 |a United States. Army Research Office (Grant W911NF-17-1-0508) 
546 |a en 
655 7 |a Article 
773 |t 10.1109/INFOCOM.2019.8737642 
773 |t IEEE INFOCOM 2019