Increased longevity of wireless Ad hoc network through fuzzy system

Abstract: The Ad hoc network is one of the multistep-based self-organizing networks, which are dynamically changing and are taken more into account as the ways of connecting the terminals through the development of wireless communication terminals. We are faced with numerous challenges in designing a wireless network such as the dynamic topology, common and limited bandwidth, and the limited energy. The nodes are moving according to the continuous changes in the topology and the source-to-destination paths are completely broken. Therefore, the repeated route discovery enhances the delay and overload of routing. Thus, it is essential to consider the link stability while designing the path in order to choose the routing protocol. Providing the multiple paths may lead to the better performance than a path. The transmission energy control in the wireless Ad hoc networks is the option for the level of transmission energy in order to transmit each node packet in this system. Therefore, transmission energy control affects the wireless medium interface. Because of choosing the appropriate protocol, the routing operation can be improved and the energy consumption can be controlled properly as well as enhancing the durability and longevity of network. The main objective of this study is to enhance the network longevity. The proposed algorithm in this research considers the combination of 2 parameters including the rate of node energy and number of steps in Fuzzy System applied on AOMDV Protocol, which is a Multipath Routing Protocol. The results of simulation also indicate the improved performance of proposed algorithm (AOMDV-F) compared to AODV and AOMDV Protocols in NS2 simulator.

How to cite this paper

 Larki, F., Mirabedini, S & Harounabadi, A. (2014). Increased longevity of wireless Ad hoc network through fuzzy system.Decision Science Letters , 3(3), 445-456.

Refrences

Bhavsar, C., Vegad, M. M., & Bakhru, S. A. (2012). Performance Comparison of Stability Enhanced AODV and AOMDV Protocols for MANETs.. International Journal of Emerging Technology and Advanced Engineering. 2(5), 279-284.

Biradar, S. R., Majumder, K., Sarkar, S. K., & Puttamadappa, C. (2010). Performance evaluation and comparison of AODV and AOMDV. International Journal on Computer Science and Engineering, 2(02), 373-377.

Boukerche, A. (Ed.). (2008). Algorithms and protocols for wireless, mobile ad hoc networks (Vol. 77). John Wiley & Sons.

Chiang, M. (2005). Balancing transport and physical layers in wireless multihop networks: Jointly optimal congestion control and power control. Selected Areas in Communications, IEEE Journal on, 23(1), 104-116.

ElBatt, T., & Ephremides, A. (2004). Joint scheduling and power control for wireless ad hoc networks. Wireless communications, IEEE Transactions on,3(1), 74-85.

IEEE Standard 802.11e.Part11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications. Amendment 8: Medium Access Control(MAC) (2005). Quality Of Service(QOS), IEE, 1-212.

Jia, L., Liu, X., Noubir, G., & Rajaraman, R. (2005, March). Transmission power control for ad hoc wireless networks: throughput, energy and fairness. InWireless Communications and Networking Conference, 2005 IEEE (Vol. 1, pp. 619-625). IEEE.

Johansson, M., & Xiao, L. (2004, May). Scheduling, routing and power allocation for fairness in wireless networks. In Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th (Vol. 3, pp. 1355-1360). IEEE.

Jung, E. S., & Vaidya, N. H. (2005). A power control MAC protocol for ad hoc networks. Wireless Networks, 11(1-2), 55-66.

Kawadia, V., & Kumar, P. R. (2005). Principles and protocols for power control in wireless ad hoc networks. Selected Areas in Communications, IEEE Journal on, 23(1), 76-88.

Kawadia, V., & Kumar, P. R. (2005). A cautionary perspective on cross-layer design. Wireless Communications, IEEE, 12(1), 3-11.

Lai, W. K., Weng, M. L., & Lin, Y. H. (2012). Improving MANET performance by a hop?aware and energy?based buffer management scheme. Wireless Communications and Mobile Computing.

Muqattash, A., & Krunz, M. (2005). POWMAC: a single-channel power-control protocol for throughput enhancement in wireless ad hoc networks. Selected Areas in Communications, IEEE Journal on, 23(5), 1067-1084.

Perkins, C. E., & Royer, E. M. (1999, February). Ad-hoc on-demand distance vector routing. In Mobile Computing Systems and Applications, 1999. Proceedings. WMCSA & apos; 99. Second IEEE Workshop on (pp. 90-100). IEEE.

Radunovic, B., & Le Boudec, J. Y. (2005, June). Power control is not required for wireless networks in the linear regime. In World of Wireless Mobile and Multimedia Networks, 2005. WoWMoM 2005. Sixth IEEE International Symposium on a (pp. 417-427). IEEE.

Radunovic, B., & Le Boudec, J. Y. (2004). Optimal power control, scheduling, and routing in UWB networks. Selected Areas in Communications, IEEE Journal on, 22(7), 1252-1270.

Soo, A. L., Tan, C. E., & Tay, K. M. (2011, June). Fuzzy multiple metrics link assessment for routing in mobile Adhoc network . In AIP Conference Proceedings, 1337, 149.

Haque, I. T., & Assi, C. (2007). Localized energy efficient routing in mobile ad hoc networks. Wireless Communications and Mobile Computing, 7(6), 781-793.

Journals

DSL Volumes

Keywords

Authors

Countries

Decision Science Letters

Increased longevity of wireless Ad hoc network through fuzzy system Pages 445-456 Download PDF

Add Reviews