[1] Tao Jun, Liu Ying, Xiao Peng, Zhu Limin, et al. Adaptive and distance-driven power control schemein mobile ad hoc networks [J]. Journal of Southeast University (English Edition), 2013, 29 (3): 252-258. [doi:10.3969/j.issn.1003-7985.2013.03.005]

Copy

Adaptive and distance-driven power control schemein mobile ad hoc networks()

一种移动自组织网络中自适应的距离驱动功率控制方法

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

29

Issue:

2013 3

Page:

252-258

Research Field:

Computer Science and Engineering

Publishing date:

2013-09-20

Info

Title:

Adaptive and distance-driven power control schemein mobile ad hoc networks

一种移动自组织网络中自适应的距离驱动功率控制方法

Author(s):

Tao Jun;  Liu Ying;  Xiao Peng;  Zhu Limin;  Chen Wenqiang

Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing 210096, China

陶军;  刘莹;  肖鹏;  朱利旻;  陈文强

东南大学教育部计算机网络和信息集成重点实验室, 南京 210096

Keywords:

power control;  mobile ad hoc networks;  energy efficient route;  optimal virtual relay-site

功率控制;  移动自组织网络;  节能路由;  虚拟最优中继

PACS:

TP393

DOI:

10.3969/j.issn.1003-7985.2013.03.005

Abstract:

In order to save the energy and reduce the latency of the end-to-end transmission in mobile ad hoc networks, an adaptive and distance-driven power control(ADPC)scheme is proposed by means of distance research in random geometrics. Through mathematical proof, the optimal number of relay nodes and the optimal location of each node for data transmission can be obtained when a distance is given. In the ADPC, first, the source node computes the optimal number and the sites of the relay nodes between the source and the destination nodes. Then it searches feasible relay nodes around the optimal virtual relay-sites and selects one link with the minimal total transmission energy consumption for data transmission. Simulation results show that the ADPC can reduce both the energy dissipation and the end-to-end latency of the transmission.

为减少MANETs中节点的能量消耗, 并同时减少传输过程中端到端的时延, 引入随机几何中距离研究的方法, 构建出一种自适应的距离驱动功率控制方法(简称ADPC).经数学证明可知, 任意给定一个距离, 可以得出传输数据所需最优中继节点个数及最优中继节点位置.在ADPC中, 源节点首先根据与目的节点间的距离, 计算通信所需的最优中继节点数量及最优中继节点位置;然后在最佳中继节点周围搜索可行的中继节点, 并选择一条总能耗最小的链路, 进行数据传输.仿真结果表明, 所提ADPC方法能够降低传输能耗、减少端到端的传输时延.

References:

[1] Santos R, Ochoa S. Disseminating shared information in disaster relief efforts: a communication computable model [C]//IEEE International Conference on Systems, Man, and Cybernetics(SMC). Anchorage, AK, USA, 2011: 3446-3451.
[2] Pullin A, Pattinson C. A realistic battlefield model for the evaluation of MANET [C]//IEEE Fifth Annual Conference on Wireless on Demand Network Systems and Services. Garmisch-Partenkirchen, Germany, 2008: 81-84.
[3] Bernardo L, Oliveira R, Gaspar S, et al. A telephony application for Manets: voice over a MANET-extended JXTA virtual overlay network [M]. Heidelberg: Springer, 2008: 347-358.
[4] Javier G, Andrew T. Variable-range transmission power control in wireless ad hoc networks [J]. IEEE Transactions on Mobile Computing, 2007, 6(1): 87-99.
[5] Wu S, Tseng Y, Sheu J. Intelligent medium access for mobile ad hoc networks with busy tones and power control [J]. IEEE Journal on Selected Areas in Communications, 2000, 18(9): 1647-1657.
[6] Wu S, Tseng Y, Lin C, et al. A multi-channel MAC protocol with power control for multi-hop mobile ad hoc networks [J]. The Computer Journal, 2002, 45(1): 101-110.
[7] Muqattash A, Krunz M. Power controlled dual channel(PCDC)medium access protocol for wireless ad hoc networks[C]//The Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. San Francisco, USA, 2003: 470-480.
[8] Zheng R, Kravets R. On-demand power management for ad hoc networks [C]//The Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. San Francisco, USA, 2003: 481-491.
[9] Grandhi A, Vijayan R, Goodman D J, et al. Centralized power control in cellular radio systems [J]. IEEE Transactions on Vehicular Technology, 1993, 42(4): 466-468.
[10] Wu Q, Wu W, Zhou J. Centralized power control in CDMA cellular mobile systems [C]//Vehicular Technology Conference. Phoenix, AZ, USA, 1997:1268-1271.
[11] Tseng Yu-Chee, Hsu Chih-Shun, Hsieh Ten-Yueng. Power-saving protocols for IEEE 802.11-based multi-hop ad hoc networks [J]. Computer Networks, 2003, 43(3): 317-337.
[12] Chen X, Rowe N. Saving energy by adjusting transmission power in wireless sensor networks [C]//2011 IEEE Global Telecommunications Conference. Houston, TX, USA, 2011: 6134029-1-6134029-5.
[13] Lin Z, Schaar M. Autonomic and distributed joint routing and power control for delay-sensitive applications in multi-hop wireless networks [J]. IEEE Transactions on Wireless Communications, 2011, 10(1): 102-113.
[14] Choi H, Lee J. Distributed transmit power control for maximizing end-to-end throughput in wireless multi-hop networks [C]//The Fourth International Conference on Ubiquitous and Future Networks(ICUFN). Phuket, Thailand, 2012: 74-79.
[15] Yu Y, Estrin D, Govindan R. Geographical and energy aware routing: a recursive data dissemination protocol for wireless sensor networks [R]. Los Angeles, CA, USA: Computer Science Department of UCLA, 2001.
[16] Miller L E. Distribution of link distances in a wireless network [J]. Journal of Research-National Institute of Standards and Technology, 2001, 106(2): 401-412.
[17] Miller L E. Joint distribution of link distances [C]//2003 Conference on Information Science and Systems. Baltimore, MD, USA, 2003: 12-14.
[18] Basagni S, Chlamtac I, Syrotiuk V R, et al. A distance routing effect algorithm for mobility(DREAM)[C]//The 4th ACM/IEEE International Conference on Mobile Computing and Networking. Dallas, TX, USA, 1998: 76-84.
[19] Gomez J, Campbell A. Variable-range transmission power control in wireless ad hoc networks [J]. IEEE Transactions on Mobile Computing, 2007, 6(1): 87-99.
[20] Zhuang Y, Pan J, Cai L. Minimizing energy consumption with probabilistic distance models in wireless sensor networks [C]//2010 30th IEEE International Conference on Computer Communications(INFOCOM). San Diego, CA, USA, 2010: 1-9.
[21] Ramaiyan V, Kumar A, Altman E. Optimal hop distance and power control for a single cell, dense, ad hoc wireless network [J]. IEEE Transactions on Mobile Computing, 2012, 11(11): 1601-1612.
[22] Rappaport T. Wireless communications: principles & practice [M]. New Jersey: Prentice Hall, 1996: 513-526.

Memo

Memo:

Biography: Tao Jun(1976—), male, doctor, associate professor, juntao@seu.edu.cn.
Foundation items: The National Basic Research Program of China(973 Program)(No.2009CB320501), the National Natural Science Foundation of China(No.61370209, 61272532), the Natural Science Foundation of Jiangsu Province(No.BK2010414, BK2011335).
Citation: Tao Jun, Liu Ying, Xiao Peng, et al. Adaptive and distance-driven power control scheme in mobile ad hoc networks[J].Journal of Southeast University(English Edition), 2013, 29(3):252-258.[doi:10.3969/j.issn.1003-7985.2013.03.005]

Common functions