基于能量平衡与拥塞控制的蚁群优化路由协议

濮阳莉; 周建明

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基于能量平衡与拥塞控制的蚁群优化路由协议

更新时间：2026-09-04

- 基于能量平衡与拥塞控制的蚁群优化路由协议
- Ant Colony Optimization Routing Protocol Considering Energy Balance and Congestion Control
- 微电子学与计算机 2018年35卷第7期页码：109-113
- 作者机构：
  
  1. 中国矿业大学计算机与技术学院,江苏,徐州,221008
  2. 北京理工大学计算机学院,北京,100081
- 作者简介：
- 基金信息：
  
  国家自然科学基金 61363027江苏省教育科学规划课题 C-c/2011/02/010
- DOI：
  中图分类号：
- 纸质出版：2018
- 稿件说明：
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濮阳莉, 周建明. 基于能量平衡与拥塞控制的蚁群优化路由协议[J]. 微电子学与计算机, 2018, 35(7): 109-113.

PU Yang-li, Zhou Jian-ming. Ant Colony Optimization Routing Protocol Considering Energy Balance and Congestion Control[J]. 2018, 35(7): 109-113.
濮阳莉, 周建明. 基于能量平衡与拥塞控制的蚁群优化路由协议[J]. 微电子学与计算机, 2018, 35(7): 109-113. DOI：

PU Yang-li, Zhou Jian-ming. Ant Colony Optimization Routing Protocol Considering Energy Balance and Congestion Control[J]. 2018, 35(7): 109-113. DOI：

摘要

为降低移动自组网中数据包传输的能量消耗和拥塞现象

提出一种兼顾能量平衡与拥塞控制的蚁群优化路由协议.该路由协议以AODV路由协议为基础

包括路由发现和路由维护两个阶段.在路由发现阶段

采用蚁群优化算法选择具有最大剩余能量、最小路径花费和最小时延变化的最优节点构建路由.在路由维护阶段

监控节点的能量阈值级别和路径能量花费

限制能量不满足条件的节点或者路径传输数据

降低能量消耗

提高网络寿命; 使用GPRS技术快速检测链路断开现象

维护路由稳定.仿真结果表明

该路由协议传输数据所需平均跳数少、报文送达率高、端到端延时少.

Abstract

For reducing the energy consumption and congestion of packet transmission in mobile ad hoc networks

it proposes an ant colony optimization routing protocol which takes into account energy balance and congestion control. The routing protocol is based on the AODV routing protocol

including two phases:route discovery and route maintenance. In the route discovery phase

the ant colony optimization algorithm is used to select the optimal nodes with maximum residual energy

minimum path cost and minimum delay variation for route construction. In the route maintenance phase

it monitors nodes energy threshold level and path energy cost

to limit package transmission on the nodes or paths whose energy does not meet the conditions

for reducing energy consumption and improving life of network; and uses GPRS technology to quickly detect the link disconnection

for maintaining stability of route. The simulation results show that

this routing protocol requires less average hop count

high packet delivery rate and less end-to-end delay.

关键词

Keywords

references

Parsapoor M, Bilstrup U. Ant Colony Optimization for Channel Assignment Problem in a Clustered Mobile Ad Hoc Network[C]// International Conference on Swarm Intelligence. 2013: 314-322.

Bhalodiya S, Vaghela K. Enhanced Detection and Recovery from Flooding Attack in MANETs using AODV Routing Protocol[J]. Guang pu xue yu guang pu fen xi Guang pu, 2015, 24(3):342-4. DOI: 342

Shahabi S, Ghazvini M, Bakhtiarian M. A modified algorithm to improve security and performance of AODV protocol against black hole attack[J]. Wireless Networks, 2016, 22(5):1-7. DOI: 1

Saraswat B K, Bhardwa J M, Pathak A. Optimum Experimental Results of AODV, DSDV % DSR Routing Protocol in Grid Environment[J]. Procedia Computer Science, 2015, 57(8830):1359-1366. DOI: 1359

杨绪彬, 张文强.移动自组织网络中服务质量路由协议的研究与展望[J].计算机应用, 2015(a02):11-13. DOI: 11

Zhan G, Shi W, Deng J. Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs[J]. IEEE Transactions on Dependable % Secure Computing, 2012, 9(2):184-197. DOI: 184

Sridhar S, Baskaran R, Chandrasekar P. Energy Supported AODV (EN-AODV) for QoS Routing in Manet[J]. Procedia - Social and Behavioral Sciences, 2013, 73(12):294-301. DOI: 294

Qi X, Wang Q, Jian F. Multi-path Routing Improved Protocol in AODV Based on Nodes Energy[J]. International Journal of Future Generation Communication % Networking, 2015, 8(1): 207-214. DOI: 207

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