Decentralized Throughput Maximizing Policies for Deadline-Constrained Wireless Networks Conference Paper uri icon


  • 2015 IEEE. We consider multi-hop wireless networks serving multiple flows in which only packets that meet hard end-to-end deadline constraints are useful, i.e., if a packet is not delivered to its destination node by its deadline, it is dropped from the network. We design decentralized scheduling policies for such multi-hop networks that attain the maximum throughput of useful packets. The resulting policy is decentralized in the sense that in order to make a transmission decision, a node only needs to know the time-till-deadline of the packets that are currently present at that node, and not the state of the entire network. The key to obtaining an easy-to-implement and highly decentralized policy is to replace the hard constraint on the number of simultaneous packet transmissions that can take place on the outgoing links of a node, by a time-average constraint on the number of transmissions. The policy thus obtained is guaranteed to provide maximum throughput. Analysis can be extended to the case of time-varying channel conditions in a straightforward manner. Simulations showing significant improvement over existing policies for deadline based scheduling, such as Earliest Deadline First, and supporting the theory, are presented.

name of conference

  • 2015 54th IEEE Conference on Decision and Control (CDC)

published proceedings


author list (cited authors)

  • Singh, R., & Kumar, P. R.

citation count

  • 17

complete list of authors

  • Singh, Rahul||Kumar, PR

publication date

  • December 2015