Discrete-Event-Dynamic-System-Based Approaches for Scheduling Transmissions in Multihop Packet Radio Networks

Abstract

In the classic transmission scheduling problem, the nodes of a Packed Radio Network (PRN) broadcast fixed-length packets over a common resource (the channel). Packet transmissions are subject to interference constraints; for example, if a node is transmitting a packet, then all adjacent (neighboring) nodes must refrain from transmission. One then adopts a slotted time model where every slot is allocated to a set of nodes which can simultaneously transmit without conflict. Thus, a node is generally belongs to one or more of these sets(called transmission sets). Our approach is based on viewing the transmission scheduling problem as a single server multiclass polling problem with simultaneous resource possession. Here, a class corresponds to a transmission set. The server corresponds to a channel operating with deterministic service times: a service time is equal to one time slot required for transmitting a packet. The scheduling problem is then equivalent to assigning the server (equivalently, each time slot) to a particular transmissions set. The simultaneous resource possession feature arises because the server is assigned to a transmission set, i.e. it can simultaneously provide service to packets from all nodes which belong to that set. The construction of the transmission set is dependent upon the topology and connectivity of the PRN and is equivalent to a graph partitioning problem. For our purposes, we assume M transmission sets have been specified. Finally, we allow for overlapping transmission sets, i.e. a node can belong to two or more difference transmission sets.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA276566

Entities

People

  • Christos G. Cassandras

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Data Integration
  • Electronic Mail
  • Engineering
  • Estimators
  • Optimization
  • Probability
  • Scheduling (Production)
  • Sensitivity
  • Simulations
  • Topology

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Operations Research