›› 2014,Vol. 29 ›› Issue (4): 550-561.doi: 10.1007/s11390-014-1449-2

• Special Section on Selected Paper from NPC 2011 • 上一篇    下一篇

协同移动收费和覆盖

Jie Wu (吴杰), Fellow, IEEE   

  1. Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, U.S.A.
  • 出版日期:2014-07-05 发布日期:2014-07-05
  • 作者简介:Jie Wu is chair and Laura H. Carnell Professor in the Department of Computer and Information Sciences at Temple University. Prior to joining Temple University, he was a program director at the National Science Foundation and Distinguished Professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, cloud and green computing, network trust and security, and social network applications.
  • 基金资助:

    The work was supported in part by the National Science Foundation of USA under Grant Nos. CCF 1301774, ECCS 1231461, CNS 1156574, CNS 1065444, and ECCS 1128209.

Collaborative Mobile Charging and Coverage

Jie Wu (吴杰), Fellow, IEEE   

  1. Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, U.S.A.
  • Online:2014-07-05 Published:2014-07-05
  • About author:Jie Wu is chair and Laura H. Carnell Professor in the Department of Computer and Information Sciences at Temple University. Prior to joining Temple University, he was a program director at the National Science Foundation and Distinguished Professor at Florida Atlantic University. His current research interests include mobile computing and wireless networks, routing protocols, cloud and green computing, network trust and security, and social network applications.
  • Supported by:

    The work was supported in part by the National Science Foundation of USA under Grant Nos. CCF 1301774, ECCS 1231461, CNS 1156574, CNS 1065444, and ECCS 1128209.

PDF (PC)

1395

移动车载的无线能源收费新近成为无线网络和移动计算领域一个切实可行的研究问题。本文简要介绍了我们团队在协同移动收费领域的研究工作。在协同移动收费中，多个移动收费器共同实现一组给定目标。这些目标包括使用最少的移动收费器来对处于不同频率的多个传感器进行收费，以及给定一组移动收费器，能够覆盖处于不同限制条件（包括移动收费器的速度和能量限制）的最远的传感器。通过针对协同移动收费和覆盖相关的问题定义，方案构造，以及将来工作拓展，我们给出了三个进行研究的原则。这些原则能有助于研究生为学期项目选择研究问题，从而最终形成学位论文主题。

Abstract: Wireless energy charging using mobile vehicles has been a viable research topic recently in the area of wireless networks and mobile computing. This paper gives a short survey of recent research conducted in our research group in the area of collaborative mobile charging. In collaborative mobile charging, multiple mobile chargers work together to accomplish a given set of objectives. These objectives include charging sensors at different frequencies with a minimum number of mobile chargers and reaching the farthest sensor for a given set of mobile chargers, subject to various constraints, including speed and energy limits of mobile chargers. Through the process of problem formulation, solution construction, and future work extension for problems related to collaborative mobile charging and coverage, we present three principles for good practice in conducting research. These principles can potentially be used for assisting graduate students in selecting a research problem for a term project, which can eventually be expanded to a thesis/dissertation topic.

[1] Atzori L, Iera A, Morabito G. The Internet of Things: A survey. Computer Networks: Int. J. Computer and Telecommunications Networking, 2010, 54(15): 2787-2805.

[2] Shah R C, Roy S, Jain S, Brunette W. Data MULEs: Modeling a three-tier architecture for sparse sensor networks. In Proc. the 1st IEEE SNPA Workshop, May 2003, pp.30-41.

[3] Zhao W, Ammar M, Zegura E. A message ferrying approach for data delivery in sparse mobile ad hoc networks. In Proc. the 5th ACM MobiHoc, May 2014, pp.187-198.

[4] Bentham J. An Introduction to the Principles of Morals and Legislation. Clarendon Press, 1879.

[5] Hardy G H. A Mathematician's Apology. Cambridge University Press, 1992.

[6] Dijkstra E W. Self-stabilizing systems in spite of distributed control. Commun. ACM, 1974, 17(11): 643-644.

[7] Beigel R, Wu J, Zheng H. On optimal scheduling of multiple mobile chargers in wireless sensor networks. In Proc. the 1st International Workshop on Mobile Sensing, Computing and Communication. (to be appeared)

[8] Zhang S,Wu J, Lu S. Collaborative mobile charging for sensor networks. In Proc. the 9th IEEE MASS, Oct. 2012, pp.84-92.

[9] Current J R, Schilling D A. The covering salesman problem. Transportation Science, 1989, 23(3): 208-213.

[10] Srinivasan A, Wu J. TRACK: A novel connected dominating set based sink mobility model for WSNs. In Proc. the 17th IEEE ICCCN, Aug. 2008, pp.1-8.

[11] Li K, Luan H, Shen C C. Qi-ferry: Energy-constrained wireless charging in wireless sensor networks. In Proc. IEEE WCNC, April 2012, pp.2515-2520.

[12] Gandham S, Dawande M, Prakash R et al. Energy efficient schemes for wireless sensor networks with multiple mobile base stations. In Proc. IEEE GLOBECOM, Dec. 2003, pp.377-381.

[13] Wu J, Yang S, Dai F. Logarithmic store-carry-forward routing in mobile ad hoc networks. IEEE Transactions on Parallel and Distributed Systems, 2007, 18(6): 735-748.

[14] He S, Chen J, Jiang F, Yau D K, Xing G, Sun Y. Energy provisioning in wireless rechargeable sensor networks. In Proc. IEEE INFOCOM, April 2011, pp.2006-2014.

[15] Kurs A, Karalis A, Moffatt R, Joannopoulos J D, Fisher P, Solja?i? M. Wireless power transfer via strongly coupled magnetic resonances. Science, 2007, 317 (5834): 83-86.

[16] Ahn D, Hong S. Effect of coupling between multiple transmitters or multiple receivers on wireless power transfer. IEEE Trans. Industrial Electronics, 2013, 60(7): 2602-2613.

[17] Liu V, Parks A, Talla V et al. Ambient backscatter: Wireless communication out of thin air. SIGCOMM Comput. Commun. Rev., 2013, 43(4): 39-50.

[18] Xie L, Shi Y, Hou Y T, Lou W, Sherali H D, Midkiff S F. Bundling mobile base station and wireless energy transfer modeling and optimization. In Proc. IEEE INFOCOM, April 2013, pp.1636-1644.

[19] Guo S, Wang C, Yang Y. Mobile data gathering with wireless energy replenishment in rechargeable sensor networks. In Proc. IEEE INFOCOM, April 2013, pp.1932-1940.
No related articles found!
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] 苏伯珙; 王剑; 夏金石;. TST——An Algorithm for Global Microcode Compaction with Timing Constraints[J]. , 1991, 6(1): 97 -107 .
[2] 眭跃飞;. The Polynomially Exponential Time Restrained Analytical Hierarchy[J]. , 1991, 6(3): 282 -284 .
[3] 沈一栋;. A Fixpoint Semantics for Stratified Databases[J]. , 1993, 8(2): 12 -21 .
[4] 吴信东;. Inductive Learning[J]. , 1993, 8(2): 22 -36 .
[5] 马小虎; 潘志庚; 张福炎;. The Automatic Generation of Chinese Outline Font Based on Stroke Extraction[J]. , 1995, 10(1): 42 -52 .
[6] 高庆狮; 刘志勇;. K-Dimensional Optimal Parallel Algorithm for the Solution of a General Class of Recurrence Equations[J]. , 1995, 10(5): 417 -424 .
[7] 陈宗汉;. Embedding Binary Tree in VLSI/WSI Processor Array[J]. , 1996, 11(3): 326 -336 .
[8] 赵彧; 张琼; 向辉; 石教英; 何志均;. A Simplified Model for Generating 3D Realistic Sound in the Multimedia and Virtual Reality Systems[J]. , 1996, 11(4): 461 -470 .
[9] 郑方; 吴文虎; 方棣棠;. Center-Distance Continuous Probability Models and the Distance Measure[J]. , 1998, 13(5): 426 -437 .
[10] 傅育熙;. Reaction Graph[J]. , 1998, 13(6): 510 -530 .
版权所有 © 《计算机科学技术学报》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持：support@magtech.com.cn
总访问量：