基于地理路由和参与者协作模型的WSAN的通信机制

赵海军; 贺春林; 蒲斌; 崔梦天

doi:10.11959/j.issn.1000-436x.2019162

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基于地理路由和参与者协作模型的WSAN的通信机制

学术论文 | 更新时间：2024-06-05

- 基于地理路由和参与者协作模型的WSAN的通信机制
- Geographical routing and participant collaboration model based communication mechanism of WSAN
- 通信学报 2019年40卷第7期页码：77-86
- 作者机构：
  
  1. 西华师范大学计算机学院，四川南充 637009
  2. 西南民族大学计算机科学与技术学院，四川成都 610041
- 作者简介：
  
  [ "赵海军（1966- ），男，四川广安人，西华师范大学教授、硕士生导师，主要研究方向为无线通信及物联网。" ]
  [ "贺春林（1971- ），男，四川广安人，西华师范大学教授、硕士生导师，主要研究方向为计算机大数据及图像处理。" ]
  [ "蒲斌（1972- ），男，四川南部人，西华师范大学副教授，主要研究方向为数据通信与网络、信息安全。" ]
  [ "崔梦天（1972- ），女，蒙古族，内蒙古乌兰浩特人，博士，西南民族大学教授、硕士生导师，主要研究方向为计算机应用及网络通信技术。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61379019)
- DOI：10.11959/j.issn.1000-436x.2019162
  中图分类号： TP31
- 网络出版日期：2019-07，
  
  纸质出版日期：2019-07-25
- 稿件说明：
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赵海军, 贺春林, 蒲斌, 等. 基于地理路由和参与者协作模型的WSAN的通信机制[J]. 通信学报, 2019,40(7):77-86.

Haijun ZHAO, Chunlin HE, Bin PU, et al. Geographical routing and participant collaboration model based communication mechanism of WSAN[J]. Journal on communications, 2019, 40(7): 77-86.
赵海军, 贺春林, 蒲斌, 等. 基于地理路由和参与者协作模型的WSAN的通信机制[J]. 通信学报, 2019,40(7):77-86. DOI： 10.11959/j.issn.1000-436x.2019162.

Haijun ZHAO, Chunlin HE, Bin PU, et al. Geographical routing and participant collaboration model based communication mechanism of WSAN[J]. Journal on communications, 2019, 40(7): 77-86. DOI： 10.11959/j.issn.1000-436x.2019162.

摘要

针对无线传感器和参与者网络的通信机制进行了研究。首先，提出了一种主动位置管理机制，它基于移动参与者发送给传感器的更新消息和Voronoi图限制的参与者范围，从而使传感器采用先前接收到的更新卡尔曼滤波来预测参与者的移动；然后，提出了一种基于地理路由的最佳能量感知转发规则作为传感器-参与者之间的通信，并采用功率控制来控制数据传输过程的时延，通过迫使多个参与者共享事件区域产生的流量来处理网络拥塞；最后，基于多个并发事件的特征，提出了一种参与者-参与者之间的协作模型来协调它们之间的运动，以最佳地完成任务。性能仿真结果表明，提出的关于无线传感器和参与者网络的协作通信机制能够有效地减少端到端时延、能量消耗和分组丢失百分比。

Abstract

The communication mechanism of wireless sensor and actor network (WSAN) was studied.Firstly

a proactive location management mechanism based on the update messages sent by mobile actors to sensors and the actors’ scope limited by Voronoi diagram was proposed.Thus

sensors predicted the movement of actors using Kalman filtering of the previously received updates.Then

an optimal energy-aware forwarding rule based on geographical routing was presented for sensor-actor communication

and the delay of the data delivery process was controlled using the power control and the network congestion was dealed with by forcing multiple actors to share the traffic generated in the event area.Finally

based on the characteristics of multiple concurrent events

a model for actor-actor coordination was proposed to coordinate their movements in order to optimally accomplish the tasks.Performance simulation results show that the proposed cooperative communication mechanism for WSAN can effectively reduce end-to-end delays

energy consumption and percentage of packet drops.

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Keywords

references

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