Simulating a Mobile Wireless Sensor Network Monitoring the Air Force Marathon

Abstract

This thesis explores the feasibility of deploying a mobile Wireless Sensor Networks (WSN) to the Air Force (AF) Marathon in support of Air Force Research Laboratory (AFRL) research of sensor and networking infrastructure in denied or degraded environments. A simulation called MarathonSim is developed in the Objective Modular Network Testbed in C++ (OMNeT++) Discrete Event Simulator to test the performance of a mobile WSN. A full factorial design using numbers of runners, transmission powers, and routing protocols is executed to measure Packet Delivery Ratio (PDR) to a central database, average end-to-end delay of application packets, and average power consumed per mote through the marathon. The experiment results show flood routing delivers >50% of packets for 7 out of 15 trials and >75% for two trials. Average delay varied from 0.11 to 7.2 seconds between 25 runners and 125 respectively. Average power consumed per node increased across all three factors but appears especially sensitive to additional runners. The experiments show it is feasible to deploy a WSN to a marathon under the simulated conditions.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2021
Accession Number
AD1132371

Entities

People

  • Matthew D Eilertson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computer Communications
  • Computer Networks
  • Data Links
  • Data Transmission
  • Detectors
  • Energy Consumption
  • Internet Of Things
  • Mesh Networks
  • Multiple Access
  • Network Architecture
  • Network Protocols
  • Network Science
  • Network Topology
  • Routing Protocols
  • Sensor Networks
  • Statistical Analysis
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Exercise and Sports Science.
  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.