Browse > Article
http://dx.doi.org/10.9709/JKSS.2011.20.3.069

Regional Path Re-selection Period Determination Method for the Energy Efficient Network Management in Sensor Networks applied SEF  

Park, Hyuk (성균관대학교 정보통신공학부)
Cho, Tae-Ho (성균관대학교 정보통신공학부)
Publication Information
Journal of the Korea Society for Simulation / v.20, no.3, 2011 , pp. 69-78 More about this Journal
Abstract
A large-scale sensor network usually operates in open and unattended environments, hence individual sensor node is vulnerable to various attacks. Therefore, malicious attackers can physically capture sensor nodes and inject false reports into the network easily through compromised nodes. These false reports are forwarded to the base station. The false report injection attack causes not only false alarms, but also the depletion of the restricted energy resources in a battery powered network. The statistical en-route filtering (SEF) mechanism was proposed to detect and drop false reports en route. In SEF, the choice of routing paths largely affect the energy consumption rate and the detecting power of the false report. To sustain the secure routing path, when and how to execute the path re-selection is greatly need by reason of the frequent network topology change and the nodes's limitations. In this paper, the regional path re-selection period determination method is proposed for efficient usage of the limited energy resource. A fuzzy logic system is exploited in order to dynamically determine the path re-selection period and compose the routing path. The simulation results show that up to 50% of the energy is saved by applying the proposed method.
Keywords
Sensor network; False report injection attack; SEF; Fuzzy system;
Citations & Related Records
연도 인용수 순위
  • Reference
1 C. Karlof and D. Wagner, "Secure Routing in Wireless Sensor Networks: Attacks and Countermeasures," Elsevier's Ad Hoc Networks Journal, Special Issue on Sensor Network Protocols and Applications, vol. 1, no. 2-3, pp. 293-315, 2003.
2 F. Ye, H. Luo and S. Lu, "Statistical En-Route Filtering of Injected False Data in Sensor Networks," IEEE J. Sel. Area Comm., vol. 23, no. 4, pp. 839-850, 2005.   DOI
3 Z. Yu and Y. Guan, "A Dynamic En-route Scheme for Filtering False Data Injection in Wireless Sensor Networks," ACM, Proc. of Sensys, pp. 294-295, 2005.
4 H. Yang and S. Lu, "Commutative Cipher Based En-route Filtering in Wireless Sensor Networks," IEEE in Proc. of VTC, pp. 1223-1227, 2004.
5 F. Li and J. Wu, "A probabilistic voting-based filtering scheme in wireless sensor networks," Proc. IWCMC, pp. 27-32, 2006.
6 C.I. Sun, H.Y. Lee and T.H. Cho, "A Path Selection Method for Improving the Detection Power of Statistical Filtering in Sensor Networks," Journal of Information Science and Engineering, vol. 25, no. 4, pp. 1163-1175, 2009.
7 H. Park, S.Y. Moon, and T.H. Cho, "A Region Segmentation Based Path Selection Method for WSNs," IJCSNS, vol. 11, no. 2, pp. 88-93, 2011.
8 J.N. Al-Karaki and A.E. Kamal, "Routing techniques in wireless sensor networks: a survey," IEEE Wireless Communication Magazine, vol. 11, no. 6, pp. 6-28, 2004.   DOI   ScienceOn
9 I.F. Akyldiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, "A Survey on Sensor Networks," IEEE Wireless Communication Magazine, vol. 40, no. 8, pp. 102-144, 2002.   DOI   ScienceOn
10 J. Yick, B. Mukherjee and D Ghosal, "Wireless sensor network survey," Computer Networks, vol. 52, no. 12, pp. 2292-2330, 2008.   DOI   ScienceOn
11 Xbow sensor networks, http://www.xbow.com
12 B.H. Kim, H.Y. Lee and T.H. Cho, "Fuzzy Key Dissemination Limiting Method for the Dynamic Filtering-Based Sensor Networks," Lect. Notes Computer Science, vol. 4681, pp. 261-272, 2007.
13 H. Park, C.H. Sun, and T.H. Cho, "A Secure Path Determination Method for Statistical En-route Filtering Based Wireless Sensor Network," In Proc. of 3rd International Conference on Advanced Computer Theory and Engineering, vol. 2, pp. 603-607, 2010.
14 J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. Culler, and K. Pister, "System Architecture Directions for Networked Sensors," In Proc. of ACM ASPLOS IX, pp. 93-104, 2000.