我们的网站为什么显示成这样?

可能因为您的浏览器不支持样式,您可以更新您的浏览器到最新版本,以获取对此功能的支持,访问下面的网站,获取关于浏览器的信息:

|Table of Contents|

节能型无线传感器网络在森林环境监测中的应用(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2014年04期
Page:
14-18
Column:
专题报道
publishdate:
2014-07-01

Article Info:/Info

Title:
Applying energy-saving wireless sensor network for forest environmental monitoring
Article ID:
1000-2006(2014)04-0014-05
Author(s):
JIANG Xiaochuan
College of Information Science and Technology,Nanjing Forestry University,Nanjing 210037,China
Keywords:
wireless sensor network forest environmental monitoring adaptive sampling system hibernation self-adapting routing
Classification number :
TP393
DOI:
10.3969/j.issn.1000-2006.2014.04.003
Document Code:
A
Abstract:
The data characteristics of forest environmental surveillance include a relatively slow changing rate over a long time period, high data redundancy and a sharp change following emergencies such as fire and rainfall. In partnership with the trials of wireless sensor network in forests, a long-term and effective system configuration was analyzed in terms of system architecture, sampling cycle of sensors and system hibernation based adaptive routing algorithm to capture changes in environmental variables in real time manner. Besides, network energy saving and system life-time prolonging were also examined. An adaptive sampling method with changing sampling cycles was proposed to address the issues of losing effective information due to long-term hibernation, and a self-adaptive dynamic routing by integrating system hibernation and clustering algorithm was also examined in the work. Results showed that compared with the conventional methods for monitoring forest resources and environmental parameters, the approaches presented here not only improve the depth of environmental data capture in temporal and spatial domains, but also elevate the speed of the system responds to changes in environmental variables. Apart from this, the proposed approaches and systems are energy-saving, and can maintain the operational stability and reliability, which are suited to forest environmental monitoring.

References

[1] Xu H L, Huang L S, Liu G, et al. Optimal relay assignment for fairness in wireless cooperative networks[J]. International Journal of Ad Hoc and Ubiquitous Computing, 2012, 11(3):42-53.
[2] Brante G, Kakitani M T, Souza R D. Energy efficiency analysis of some cooperative and non-cooperative transmission schemes in wireless sensor networks[J]. IEEE Transactions on Communications, 2011, 59(10):2671-2677.
[3] Shi L Q, Fapojuwo A O. Cross-layer optimization with cooperative communication for minimum power cost in packet error rate constrained wireless sensor networks[J]. Ad Hoc Networks, 2012, 10(7): 1457-1468.
[4] Zhang Y B, Dai H Y. Energy-efficiency and transmission strategy selection in cooperative wireless sensor networks[J]. Journal of Communications and Networks, 2007, 9(4): 473-481.
[5] Amardeo C, Sarma J G. Ientities in the future internet of things[J]. Wireless Pers Commun, 2009,49(9):353-363.
[6] Cardell R. Rope: A reactive, opportunistic protocol for environment monitoring sensor network[C]// Proceedings of the Second IEEE Workshop on Embedded Networked Sensors(EmNetS-Ⅱ), Sydney, 2005.
[7] Rhee I, Lee J, Kim J. Clock synchronization in wireless sensor networks: an overview[J]. Sensors, 2009, 9(1): 56-85.
[8] Kim D, Lee S, Won K. Time-synchronized forwarding protocol for remote control of home appliances based on wireless sensor network[J]. IEEETransactions on Consumer Electronics, 2007, 53(4):1427-1433.
[9] Elson J E, Girod L, Estrin D. Fine-grained network time synchronization using reference broadcasts [C]// Proceedings of the Fifth Symposium on Operating Systems Design and Implementation, Boston, 2002.
[10] Li L, Yang X, Zhang J Y. A bio-inspired time synchronization algorithm for wireless sensor networks [C]//International Conference on Computer Engineering and Technology, Chengdu, 2010.
[11] Maroti M, Kusy B, Simon G. The flooding time synchronization protocol [C]// Proceedings of the Second International Conference on Embedded Networked Sensor Systems, Baltimore, 2004.
[12] Ping S. Delay measurement time sychronization for wireless sensor networks [R]. Intel Research Berkeley Lab, IRB-TR-03-013, 2003.
[13] Ganeriwal S, Kumar R, Srivastava M B. Timing-sync protocol for sensor networks [C]// Proceedings of the First ACM Conference on Embedded Networked Sensor Sysrem, New York, 2003.
[14] 李立, 刘勇攀, 杨华中,等. 无线传感器网络分布式一致时间同步协议的收敛分析及加速设计[J]. 电子与信息学报, 2010,32(9): 2045-2051.Li L, Liu Y P, Yang H Z, et al. The convergence analysis and acceleration design of distributed time synchronization protocols of wireless sensor networks[J]. Journal of Electronics & Information Technology, 2010,32(9): 2045-2051.
[15] Gnawali O, Fonseca R, Jamieson K, et al. Collection Tree Protocal [C]// Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems(SenSys), ACM, 2009.
[16] Gerla M, Tsai J T C. Multicluster, mobile, multimedia radio network [J]. ACM-Baltzer Journal of Wireless Networks, 1995, 1(3): 255-265.
[17] Kozat U C, Kondylis G, Ryu B. Virtual dynamic backbone for mobile ad hoc networks [C]// Proceedings of IEEE /ICCc2001, Helsinki, 2001.
[18] Gerla M, Taek J K, Pei G. On-demand routing in large ad hoc wireless networks with passive clustering [C]// Proceedings of the IEEE Wireless Communications and Networking Conference(WCNC), Chicago, 2000.
[19] Wu J, Li H L. On calculating connected dominating set for efficient routing in ad hoc wireless networks [C]//Proceedings of the 3rd ACM International Workshop on Dcrete Algorithms and Methods for Mobile Computing and Communications, 1999.
[20] Lin C R. Adaptive clustering for mobile wireless networks[J]. Select Areas in Communications, 1997, 15(7):1265-1275.
[21] Sheltami T, Mouftah H. A comparative study of on-demand and cluster-based routing protocols in MANETs [C]// Proceedings of IEEE IPGGG Workshop EWCN, 2003.

Last Update: 2014-07-31