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논문검색

Research the Optimal Path of Post-Disaster Relief Vehicles Based on Ant Colony Algorithm and WSN

초록

영어

Choosing a reasonable Rescue route guarantees emergency rescue command center to start the rescue work timely and effectively. In this paper, use the optimal path choice of public emergencies as an entry point of research build a post-disaster Ad Hoc net through wireless sensor technology, use the limited sensor resources to meet the rescue vehicle path optimization problem. Ant Colony Algorithm absorb the behavior of insect kingdom ant, use internal search mechanism to introduce sensor networks useful information, Fully consider the impact of the road traffic rescue vehicle travel time because of changes the traffic capacity, from rescue vehicles transport resources’ two factors -the timeliness and economy, maximize meet the transport requirements of post-disaster emergency relief material to reduce the aid does not lead to timely the direct and indirect losses, maximize meet the transport requirements of post-disaster emergency relief material to reduce the aid does not lead to timely the direct and indirect losses. The simulation results show that the design of the optimal path to solve the disaster relief vehicles have obvious advantages and important practical significance.It Improved ant colony algorithm can quickly build a optimal routing, improve the efficiency of path optimization, effectively reduce the node energy consumption and ensure the whole network energy balance.

목차

Abstract
 1. Introduction
 2. Rescue the Optimal Path Mathematical Model of Ant Colony Algorithm
 3. The Adaptive Ant Colony Algorithm based on WSN
 4. Rescue Vehicle Scheduling and Optimal Path Analysis
  4.1. Analysis of Characteristics of Rescue Vehicles Scheduling
  4.2. Rescue Vehicles Scheduling Process
  4.3. Based on ACA and WSN to Solve the Optimal Path
 5. Simulation Study
 6. Conclusion
 Acknowledgment
 References

저자정보

  • Gao Weimin School of computer and information science, Hunan institute of technology, Heng yang 421002, China

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