Applying Collaborative Game Strategy for Incomplete-Information Based Routing in LEO Constellation

WEI Song-jie; WANG Jia-he; LIU Pei-long; CHENG Hao

doi:10.3969/j.issn.0372-2112.2020.10.007

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Applying Collaborative Game Strategy for Incomplete-Information Based Routing in LEO Constellation

更新时间：2023-02-24

- Applying Collaborative Game Strategy for Incomplete-Information Based Routing in LEO Constellation
- Acta Electronica Sinica Vol. 48, Issue 10, Pages: 1923-1927(2020)
- 作者机构：
  
  1. 南京理工大学计算机科学与工程学院,江苏,南京,210094
  3. 清华大学北京信息科学与技术国家研究中心,北京,100084
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2020.10.007
  CLC： TN927+.2
- Published Online：25 October 2020，
  
  Published：2020
- 稿件说明：
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WEI Song-jie, WANG Jia-he, LIU Pei-long, et al. Applying Collaborative Game Strategy for Incomplete-Information Based Routing in LEO Constellation[J]. Acta Electronica Sinica, 2020, 48(10): 1923-1927.
DOI：

WEI Song-jie, WANG Jia-he, LIU Pei-long, et al. Applying Collaborative Game Strategy for Incomplete-Information Based Routing in LEO Constellation[J]. Acta Electronica Sinica, 2020, 48(10): 1923-1927. DOI： 10.3969/j.issn.0372-2112.2020.10.007.

摘要

针对LEO卫星网络在多跳转发数据包时流量分布不均问题，提出了一种基于不完全信息的最优收益路由联盟博弈算法.各节点协同联盟邻居节点，共同确定数据报文当前最优转发路径，从而分配和平衡节点间流量负载.仿真结果表明，与最短路径卫星路由DSP或智能路由TLR相比，本文算法的平均数据传输延迟降低了18.5%，节点流量负载均衡度提高了65.6%.

Abstract

To tackle the difficulty of imbalanced traffic load when forwarding data packets through multiple hops in LEO satellite network

we propose a collaborative game theory routing strategy with incomplete information.Each node determines the current optimal routing path of the data packets through cooperating with neighbors for locally optimized coalition gain.This strategy distributes and balances the traffic workload among neighbor nodes effectively.Simulations show that compared with satellite routing based on the DSP shortest path or the TLR intelligent routing

the proposed algorithm reduces the average transmission delay by 18.5%

and improves the load balancing of nodes by 65.6%.

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