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Adaptive Routing Optimization Algorithm in Community-Oriented Opportunistic Networks for Mobile Health.

Weimin Chen1,2, Zhigang Chen3, Fang Cui4

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This study introduces an adaptive routing algorithm for mobile health (mHealth) in opportunistic networks (OppNets). The new scheme enhances data delivery and reduces delays, improving mHealth communication reliability.

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communitymessage ferrymobile healthopportunistic networksrelationship

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Area of Science:

  • Computer Science
  • Mobile Computing
  • Network Engineering

Background:

  • Mobile health (mHealth) applications are rapidly growing due to increased mobile device usage.
  • Securing sensitive medical data in mHealth presents significant communication challenges.
  • Opportunistic Networks (OppNets) offer potential for mHealth due to their self-organizing nature and capacity expansion via node movement.

Purpose of the Study:

  • To develop an efficient and secure routing protocol for mHealth applications within OppNets.
  • To address the limitations of existing OppNet routing protocols, such as low performance and insecurity due to unstable links.

Main Methods:

  • Proposed an adaptive routing optimization algorithm for OppNets in mHealth.
  • Introduced a novel metric based on average message forwarding delay to guide message selection.
  • Designed a local community detection algorithm tailored to OppNet characteristics.
  • Utilized super-nodes for message ferrying across different communication domains.

Main Results:

  • The proposed scheme significantly improved mHealth communication efficiency and security.
  • Achieved approximately a 30% increase in delivery ratio.
  • Reduced message delay by approximately 35%.
  • Decreased the number of message forwardings by about 5% compared to existing schemes.

Conclusions:

  • The developed adaptive routing algorithm effectively addresses challenges in mHealth OppNet communication.
  • Node relationships, community structures, and message ferrying are crucial elements for optimizing OppNet routing in mHealth.