Abstract
Wireless Mesh Network (WMN) is a new high-capacity and high-speed distributed broadband access network. Because of supporting multi-band devices, WMN is suitable for different application in the Internet of Things. In order to meet the performance requirements of multimedia traffic transmission, the routing approach designed for WMN must be taken into account the combination of load balance and anti-interference. We propose an extended Ad hoc on demand distance vector (AODV, which is a peer-to-peer the reactive routing approach) routing approach which is based on distributed adaptive random early detection and integrated metric for WMN. We firstly introduce several typical WMN routing approaches, and then based on the optimization theorem and cross-layer design proposes an integrated metrics to improve AODV routing approach. The steps and example using convex programming method are presented to solve routing optimization problem. Finally the feasibility of the proposed algorithm is verified with Method simulation. Simulation and analysis results show that the proposed EAODV routing approach improves the performance of WMN significantly.
Similar content being viewed by others
References
Zhang, D. G., & Li, G. (2014). An energy-balanced routing method based on forward-aware factor for Wireless Sensor Network. IEEE Transactions on Industrial Informatics, 10(1), 753–766.
International Telecommunication Union UIT.ITU Internet Report 2005: The Internet Of Things[R]. (2005).
Bashir, S., & Naeem, M. (2010). An application of univariate marginal distribution algorithm in MIMO communication systems. International Journal of Communication Systems, 23(1), 1051–1052.
Abbasi-Moghadam, D., & Vakili, V. T. (2011). Characterization of indoor time reversal UWB communication systems: Spatial, temporal and frequency properties. International Journal of Communication Systems, 24(3), 1140–1153.
Abolhasan, M., Wysocki, T., Dutkiewicz, E., & Abolhasan, M. (2004). A review of routing methods for mobile ad hoc networks. Ad Hoc Networks, 2, 1–22.
Zhang, D. G., & Liang, Y. P. (2013). A kind of novel method of service-aware computing for uncertain mobile applications. Mathematical and Computer Modeling, 57(3–4), 344–356.
Johnson, D. B., Maltz, D. A. (1996). Dynamic source routing in ad hoc wireless networks. Mobile Computing.
Perkins, C. E., Belding-Royer, E., Das, S. (2003). Ad hoc on demand distance vector (AODV) routing. IETF RFC3561.
Yang, Y., Wang, J. (2008). Design guidelines for routing metrics in multi-hop wireless networks//the 27th IEEE Communications Society Conference on Computer Communications, Phoenix, 2008. Piscataway: IEEE, 2288–2296.
Waharte, S., & Boutaba, R. (2006). Routing methods in wireless mesh networks: Challenges and design considerations. Multimedia Tools and Applications, 29, 285–303.
Siraj, M., & Bakar, K. A. (2012). A load balancing interference aware routing metric (LBIARM) for multi-hop wireless mesh network. International Journal of the Physical Sciences, 7(3), 456–461.
Douglas S. J., De Couto, (2003). A high-throughput path metric for multi- hop wireless routing. Proceedings of ACM MOBICOM.
Bicket, J., Aguayo, D., Biswas, S., Morris, R. (2005). Architecture and evaluation of an unplanned 802.11b mesh network. In 11th MobiCom 2005 (pp. 31–42). ACM, New York.
Draves, R., Padhye, J., Zill, B. (2004). Routing in multi-radio, multi-hop wireless mesh networks, In MobiCom ‘04: Proceedings of the 10th annual international conference on Mobile computing and networking Philadelphia (pp. 114–128), PA, USA: ACM Press.
Yang, Y., Wang, J., Kravets, R. (2005). Designing routing metrics for mesh networks. In Proceedings of the IEEE workshop on wireless mesh networks (WiMesh). IEEE Press, Los Alamitos.
Sobrinho, J. L. (2002). Algebra and algorithms for QoS path computation and hop-by-hop routing in the Internet. IEEE-ACM Transactions on Networking, 10(4), 541–550.
Sobrinho, J. L. (2003) Network routing with path vector methods: Theory and applications. /The ACM SIGGOMM Conference on Computer Communications (pp 49–69), Karlsruhe, 2003. New York: ACM.
Zhang, D. G., & Kang, X. J. (2012). A new method of non-line wavelet shrinkage denoising based on spherical coordinates. Information -An International Interdisciplinary Journal, 15(1), 141–148.
Zhang, D. G. (2012). A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things (IOT). Computers and Mathematics with Applications, 64(5), 1044–1055.
Zhang, D. G., & Zhang, X. D. (2012). A new service-aware computing approach for mobile application with uncertainty. Applied Mathematics & Information Sciences, 6(1), 9–21.
Yang, C. (2010). The research of metrics in wireless mesh network. Master’s thesis.
Shen, C. (2010). The routing method based on integrated metrics in wireless mesh method. Chinese Journal of Computers, 33(12), 2300–2311.
Zhang, D. G. (2012). A new approach and system for attentive mobile learning based on seamless migration [J]. Applied Intelligence, 36(1), 75–89.
Floyd, S., & Jacobson, V. (1993). Random early detection gateways for congestion avoidance[J]. ACM/IEEE Transactions on networking, 1(4), 397–413.
Zhang, D. G. (2012). A new medium access control method based on perceived data reliability and spatial correlation in wireless sensor network. Computers and Electrical Engineering, 38(3), 694–702.
Atzori, L., & Iera, A. (2010). The internet of things: A survey. Computer Networks.
Mala, H., & Dakhilalian, M. (2012). Cryptanalysis of mCryptonuA lightweight block cipher for security of RFID tags and sensors. International Journal of Communication Systems, 25(4), 1248–1266.
Zhang, D. G., & Zhang, X. D. (2012). Design and implementation of embedded un-interruptible power supply system (EUPSS) for web-based mobile application. Enterprise Information Systems, 6(4), 473–489.
Acknowledgments
This work is supported by ‘863’ project plan of China (No. 2007AA01Z188), National Natural Science Foundation of China (No. 61170173 & No. 60773073 & No. 61202169 & No. 61001174), Program for New Century Excellent Talents in University of China (No. NCET-09-0895), Key project of Ministry of Education of China (No.208010), Tianjin Natural Science Foundation (No. 10JCYBJC00500),Tianjin Key Natural Science Foundation (No. 13JCZDJC34600),CSC Foundation (No. 201308120010), Training plan of Tianjin University Innovation Team (No. 16).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Xie, Ym., Zhang, Dg., Song, Xd. et al. An EAODV routing approach based on DARED and integrated metric. Wireless Netw 20, 2455–2467 (2014). https://doi.org/10.1007/s11276-014-0760-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11276-014-0760-8