Application of mobile agent itinerary planning based on data offloading strategy of energy optimal method

Xiaobo SHI; Jianyu LU; Wenye WANG; Hang RUAN; Xuan ZHU

doi:10.3969/j.issn.1000-0801.2016.02.010

您当前的位置：

首页 >

文章列表页 >

Application of mobile agent itinerary planning based on data offloading strategy of energy optimal method

research and development | 更新时间：2024-06-05

- Application of mobile agent itinerary planning based on data offloading strategy of energy optimal method
- Telecommunication Science Vol. 32, Issue 2, Pages: 68-74(2016)
- 作者机构：
  
  1. 华中科技大学，湖北武汉 430074
  2. 河南师范大学，河南新乡453007
  3. 华中师范大学，湖北武汉 430079
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-0801.2016.02.010
  CLC： TP393
- Published Online：2016-02，
  
  Published：15 February 2016
- 稿件说明：
移动端阅览
Xiaobo SHI, Jianyu LU, Wenye WANG, et al. Application of mobile agent itinerary planning based on data offloading strategy of energy optimal method[J]. Telecommunication science, 2016, 32(2): 68-74.
DOI：

Xiaobo SHI, Jianyu LU, Wenye WANG, et al. Application of mobile agent itinerary planning based on data offloading strategy of energy optimal method[J]. Telecommunication science, 2016, 32(2): 68-74. DOI： 10.3969/j.issn.1000-0801.2016.02.010.

摘要

提出了移动代理数据卸载策略，对无线传感器网络中现有移动代理规划路径进行优化，根据卸载规则决定是否将数据分组分离通过优化的卸载路径传递，卸载数据的移动代理通过原路径访问数据源节点。使用移动代理经典算法IEMF（itinerary energy minimum for first-source-selection）进行大量的仿真实验，结果显示，提出的数据卸载策略能有效地解决数据源节点能量消耗过快的问题，延长数据源节点的生存期。

Abstract

A data offloading strategy for optimizing itinerary planning of MA（mobile agent）was proposed. When MA visits source nodes based on data offloading strategy，it decides whether to transfer data package via optimized offloading itinerary and MA（mobile agent）visits data source nodes via conventional itinerary. Based on considerable simulations with the representative MA itinerary planning，i.e. itinerary energy minimum for first-source-selection （IEMF），it verifies that the problem of excessive energy consumption from source nodes can be efficiently solved and the lifetime of source nodes is prolonged.

关键词

Keywords

references

VARAKLIOTIS S ， HAILES S ， DENARDI R ， et al . UAV and cognitive radio technologies in the emergency services arena [J ] . British Association of Public Safety Communications Officials ， 2010 （ 11 ）.

ABDULLA A E A A ， FADLULLAH Z M ， NISHIYAMA H et al . An optimal data collection technique for improved utility in UAS-aided networks [C ] // 2014 IEEE International Conference on Computer Communications ， April 27 - May 2 ， 2014 ， Toronto，Canada . New Jersey ： IEEE Press ， 2014 .

PADILLA P ， CAMACHO J ， MACIA-FERNANDEZ G ， et al . On the influence of the propagation channel in the performance of energy-efficient geographic routing algorithms for wireless sensor networks（WSN） [J ] . Wireless personal communications ， 2013 ， 70 （ 1 ）： 15 - 38 .

AHMAD A ， LATIF K ， JAVAIDL N et al . Density controlled divide-and-rule scheme for energy efficient routing in wireless sensor networks [C ] // 2013 26th Annual IEEE Canadian Conference on Electrical and Computer Engineering（CCECE 2013）， May 5 - 8 ， 2013 ， Regina，Saskatchewan，Canada . New Jersey ： IEEE Press ， 2013 .

苏金树，郭文忠，余朝龙等 . 负载均衡感知的无线传感器网络容错分簇算法 [J ] . 计算机学报， 2014 ， 37 （ 2 ）： 445 - 456 .

SU J S ， GUO W Z ， YU C L ， et al . Fault-tolerance clustering algorithm with load-balance aware in wireless sensor network [J ] . Chinese Journal of Computers ， 2014 ， 37 （ 2 ）： 445 - 456 .

郭文忠，苏金树，陈澄宇等 . 无线传感器网络中带复杂联盟的自适应任务分配算法 [J ] . 通信学报， 2014 ， 35 （ 3 ）： 1 - 10 .

GUO W Z ， SU J S ， CHEN C Y ， et al . Self-adapted task allocation algorithm with complicated coalition in wireless sensor network [J ] . Journal on Communications ， 2014 ， 35 （ 3 ）： 1 - 10 .

CHEN M ， GONZALEZ S ， ZHANG Y et al . Multi-Agent Itinerary Planning for Wireless Sensor Networks [M ] . Heidelberg：Springer ， 2009 ， 22 ： 584 - 597 .

CHEN M ， YANG L T ， KWON T et al . Itinerary planning for energy-efficient agent communication in wireless sensor networks [J ] . IEEE Transactions on Vehicular Technology ， 2011 ， 60 （ 7 ）： 3290 - 3299 .

QI H R ， WANG F Y . Optimal itinerary analysis for mobile agents in ad hoc wireless sensor networks [J ] . Proceedings of the IEEE ， 2001 .

CAI W ， CHEN M ， HARA T et al . A genetic algorithm approach to multi-agent itinerary planning in wireless sensor networks [J ] . Mobile Networks and Applications ， 2011 ， 16 （ 6 ）： 782 - 793 .

KONSTANTOPOULOS C ， MPIZIOPOULOS A ， GAVALAS D et al . Effective determination of mobile agent itineraries for data aggregation on sensor networks [J ] . Knowledge and Data Engineering，IEEE Transactions on ， 2010 ， 22 （ 12 ）： 1679 - 1693 .

GAVALAS D ， MPIZIOPOULOS A ， PANTZIOU G et al . An approach for near-optimal distributed data fusion in wireless sensor networks [J ] . Wireless Networks ， 2010 ， 16 （ 5 ）： 1407 - 1425 .

CHEN M ， CAI W ， GONZALEZ S et al . Balanced itinerary planning for multiple mobile agents in wireless sensor networks [J ] . Ad Hoc Networks ， 2010 ， 49 ： 416 - 428 .

WANG J F ， ZHANG Y ， CHENG Z L et al . EMIP：energy-efficient itinerary planning for multiple mobile agents in wireless sensor network [J ] . Telecommunication Systems ， 2015 ： 1 ～ 8 .

CHEN M ， HAO Y X ， LI Y et al . On the computation offloading at Ad Hoc cloudlet：architecture and service models [J ] . IEEE Communications ， 2015 ， 53 （ 6 ）： 18 - 24 .

CHEN M ， ZHANG Y ， LI Y et al . EMC：Emotion-aware mobile cloud computing in 5G [J ] . IEEE Network ， 2015 ， 29 （ 2 ）： 32 - 38 .

陈敏 . OPNET物联网仿真 [M ] . 武汉：华中科技大学出版社， 2005

CHEN M . OPNET Internet of Things Simulation [M ] . Wuhan ： Huazhong University of Science and Technology Press ， 2015 .

Views

491

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Quality of service based hierarchical resource allocation algorithm

Wireless sensor node localization based on IPSO-MC

Communication performance analysis of wireless sensor network for railway environmental monitoring

Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing

Game theory-based malware propagation model for wireless sensor network

Related Author

Yi WANG

Xiaodong CAO

Jinrong CHEN

Cheng DING

Jianping WU

Yongyan LI

Hao HU

Ruifeng CHEN

Related Institution

Zhejiang University

University of Shaoxing at Shang Yu

Institute of Computing Technology, China Academy of Railway Sciences Co., Ltd.

China Railway Harbin Group Co.,Ltd.

College of Mathematics Physics and Information Engineering, Jiaxing University

⁰