<p>The optimization of routing algorithms represents a critical challenge in the context of mobile ad hoc networks. The routing protocol provides a route to the destination and modifies each path in response to changes in the network. The prevailing routing algorithm, Optimized Link State Routing, employs a process of packet reception and analysis to ascertain the quality of each link. OLSR exhibits suboptimal performance, with a Completion Ratio (CR) of 66% in the open 24-node Anglova company and fading scenario. OLSR has been improved with methods using the physical layer estimation with the Signal to Interference and Noise Ratio (SINR) such as SINR Threshold (SINRT) which discards HELLO packets that have been received with a SINR below a specified threshold. A testbed comprising six laptops and WiFi dongles was constructed for the purpose of verifying the performance of the routing algorithm in a dynamic indoor scenario. The classical OLSR (CR=79%) and SINRT (CR=81%) were evaluated in a 6-laptop testbed with real-time emulations and the open-source EMANE platform. The user traffic consisted of acknowledged short messages, set to 8% of the link rate per node, and was acknowledged by the receiving node. The evaluations were completed using UDP and TCP Continuous Bit Rate traffic, which demonstrated a higher goodput for SINRT (R=3.3 Mbps) on physical devices in comparison to OLSR (R=2.5 Mbps).</p>

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Measurements and emulations of OLSR and SINRT performance in realistic mobile ad-hoc networks

  • Yann Maret,
  • Mohsin Raza,
  • Franck Legendre,
  • Nik Bessis,
  • Junyuan Wang,
  • Jean-Frédéric Wagen

摘要

The optimization of routing algorithms represents a critical challenge in the context of mobile ad hoc networks. The routing protocol provides a route to the destination and modifies each path in response to changes in the network. The prevailing routing algorithm, Optimized Link State Routing, employs a process of packet reception and analysis to ascertain the quality of each link. OLSR exhibits suboptimal performance, with a Completion Ratio (CR) of 66% in the open 24-node Anglova company and fading scenario. OLSR has been improved with methods using the physical layer estimation with the Signal to Interference and Noise Ratio (SINR) such as SINR Threshold (SINRT) which discards HELLO packets that have been received with a SINR below a specified threshold. A testbed comprising six laptops and WiFi dongles was constructed for the purpose of verifying the performance of the routing algorithm in a dynamic indoor scenario. The classical OLSR (CR=79%) and SINRT (CR=81%) were evaluated in a 6-laptop testbed with real-time emulations and the open-source EMANE platform. The user traffic consisted of acknowledged short messages, set to 8% of the link rate per node, and was acknowledged by the receiving node. The evaluations were completed using UDP and TCP Continuous Bit Rate traffic, which demonstrated a higher goodput for SINRT (R=3.3 Mbps) on physical devices in comparison to OLSR (R=2.5 Mbps).