Conference paper Open Access

Delay Tolerant Video Upload from Public Vehicles

Safari Khatouni, Ali; Ajmone Marsan, G Marco; Mellia, Marco

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  <identifier identifierType="DOI">10.5281/zenodo.51718</identifier>
      <creatorName>Safari Khatouni, Ali</creatorName>
      <familyName>Safari Khatouni</familyName>
      <affiliation>Politecnico  di Torino </affiliation>
      <creatorName>Ajmone Marsan, G Marco</creatorName>
      <givenName>G Marco</givenName>
      <familyName>Ajmone Marsan</familyName>
      <affiliation>Politecnico  di Torino </affiliation>
      <creatorName>Mellia, Marco</creatorName>
      <affiliation>Politecnico  di Torino </affiliation>
    <title>Delay Tolerant Video Upload from Public Vehicles</title>
    <subject>Smart city, public transport, security, video upload, wireless network, scheduling</subject>
    <date dateType="Issued">2016-04-11</date>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;In this paper we study a surveillance system for public transport vehicles, which is based on the collection of on-board videos, and the upload via wireless transmission to a central security system of video segments corresponding to those cameras and time intervals involved in an accident. We assume that vehicles are connected to several wireless interfaces, provided by different Mobile Network Operators (MNOs), each charging a different cost. Both the cost and the upload rate for each network interface change over time, according to the network load and the position of the vehicle. When a video must be uploaded to the central security, the system has to complete the upload within a deadline, deciding i) which interface(s) to use, ii) when to upload from that interface(s) and iii) at which rate to upload. The goal is to minimize the total cost of the upload, which we assume to be proportional to the data volume being transmitted and to the cost of using a given interface. We formalize the optimization problem and propose greedy heuristics. Results are generated, using real wireless bandwidth traces, showing that one of the proposed greedy heuristics comes very close to the optimal solution.&lt;/p&gt;</description>
    <description descriptionType="Other">2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): SmartCity16: The 2nd IEEE INFOCOM Workshop on Smart Cities and Urban Computing</description>
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