基于自适应时间调整的机会网络可靠休眠调度算法

任智; 武杨; 张剑波; 李季碧

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基于自适应时间调整的机会网络可靠休眠调度算法

更新时间：2026-09-04

- 基于自适应时间调整的机会网络可靠休眠调度算法
- A Reliable Sleep Scheduling Algorithm for Opportunistic Networks Based on Adaptive Time Adjustment
- 微电子学与计算机 2016年33卷第2期页码：12-17
- 作者机构：
  
  重庆邮电大学机构移动通信技术重庆市重点实验室,重庆,400065
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目 61379159长江学者和创新团队发展计划基金资助项目 IRT1299
- DOI：
  中图分类号：
- 纸质出版：2016
- 稿件说明：
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任智, 武杨, 张剑波, 李季碧. 基于自适应时间调整的机会网络可靠休眠调度算法[J]. 微电子学与计算机, 2016, 33(2): 12-17.

REN Zhi, WU Yang, ZHANG Jian-bo, et al. A Reliable Sleep Scheduling Algorithm for Opportunistic Networks Based on Adaptive Time Adjustment[J]. 2016, 33(2): 12-17.
任智, 武杨, 张剑波, 李季碧. 基于自适应时间调整的机会网络可靠休眠调度算法[J]. 微电子学与计算机, 2016, 33(2): 12-17. DOI：

REN Zhi, WU Yang, ZHANG Jian-bo, et al. A Reliable Sleep Scheduling Algorithm for Opportunistic Networks Based on Adaptive Time Adjustment[J]. 2016, 33(2): 12-17. DOI：

摘要

针对现有采用周期性唤醒机制的机会网络休眠算法中节点进入休眠状态会导致消息发送或接收中断

从而降低数据传送成功率的问题

提出了一种更可靠的基于自适应时间调整的休眠调度算法-RSATA(Reliable sleep Scheduling base on Adaptive Time Adjustment).RSATA结合RSSI测距机制和消息跨层通告机制

通过分析节点接触过程滤除节点不能够发送数据的相遇机会

然后对唤醒时间和休眠时间进行动态调整

避免消息收发被休眠中断.仿真结果显示: 与AWS算法和ETAWS算法相比

RSATA算法不仅提高了消息投递率

而且降低了消息发送次数、发送中断率和节点能耗.

Abstract

To solve this problem that the nodes send or receive a message is interrupted when enter a sleep state which reduces the data delivery success rate in existing sleep algorithms based on the periodic wake mechanism for opportunistic networks

a more Reliable sleep Scheduling algorithm base on Adaptive Time Adjustment (RSATA) is proposed. Combining RSSI ranging mechanism and message cross-layer notification mechanism

RSATA analyzes the contact process between the nodes to exclude the encounter chance node can not send data and then dynamically adjusts the wake time and sleep time. So RSATA algorithm avoids message sending and receiving interrupted by sleep. Simulation results show that

compared with AWS algorithm and ETAWS algorithm

RSATA algorithm not only improves the message delivery rate

but also reduces the number of messages sent

sending interrupt rate and nodes energy consumption.

关键词

Keywords

references

Feng Y, Bai X. Energy-saving mechanisms for delay-and disruption-tolerant networks[C]// Proceedings of the 4th International Conference on Computer Engineering and Networks. China, Shanghai, 2015: 1165-1176.

Ko H, Oh S, Kim C. Adaptive, asynchronous rendezvous protocol for opportunistic networks[J]. Electronics letters, 2012, 48(8): 462-464. DOI: 462

Carrano R C, Passos D, Magalhaes L C S, et al. Survey and taxonomy of duty cycling mechanisms in wireless sensor networks[J]. IEEE Communications Surveys % Tutorials, 2014, 16(1): 181-194. DOI: 181

Choi B J, Shen X. Adaptive asynchronous sleep scheduling protocols for delay tolerant networks[J]. Mobile Computing, IEEE Transactions on Mobile Computing, 2011, 10(9): 1283-1296. DOI: 1283

Keränen A, Ott J, Kärkkäinen T. The ONE simulator for DTN protocol evaluation[C]//Proceedings of the 2nd international conference on simulation tools and techniques. Italy, Rome, ICST, 2009: 55.

付凯, 夏靖波, 尹波. DTN中一种基于接触时间的休眠机制[J]. 计算机科学, 2013, 40(2): 87-90. DOI: 87

李季碧, 李宾, 任智, 等. 自适应动态功率控制的机会网络节能高效路由算法[J]. 西安交通大学学报, 2014, 48(12): 49-56. DOI: 49

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