Multicast Multi-path Power Efficient Routing in Mobile ADHOC networks

Summary The proposal of this paper presents a measurement-based routing algorithm to load balance intra domain traffic along multiple paths for multiple multicast sources. Multiple paths are established using application-layer overlaying. The proposed algorithm is able to converge under different network models, where each model reflects a different set of assumptions about the multicasting capabilities of the network. The algorithm is derived from simultaneous perturbation stochastic approximation and relies only on noisy estimates from measurements. Simulation results are presented to demonstrate the additional benefits obtained by incrementally increasing the multicasting capabilities. The main application of mobile ad hoc network is in emergency rescue operations and battlefields. This paper addresses the problem of power awareness routing to increase lifetime of overall network. Since nodes in mobile ad hoc network can move randomly, the topology may change arbitrarily and frequently at unpredictable times. Transmission and reception parameters may also impact the topology. Therefore it is very difficult to find and maintain an optimal power aware route. In this work a scheme has been proposed to maximize the network lifetime and minimizes the power consumption during the source to destination route establishment. The proposed work is aimed to provide efficient power aware routing considering real and non real time data transfer.

[1]  Richard J. La,et al.  Measurement based optimal multi-path routing , 2004, IEEE INFOCOM 2004.

[2]  Saswati Sarkar,et al.  A framework for optimal battery management for wireless nodes , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[3]  Ivan Stojmenovic,et al.  Power-Aware Localized Routing in Wireless Networks , 2001, IEEE Trans. Parallel Distributed Syst..

[4]  Jatinder Pal Singh,et al.  Route-lifetime assessment based routing (RABR) protocol for mobile ad-hoc networks , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[5]  Timothy X. Brown,et al.  Minimum Energy Routing Schemes for a Wireless Ad Hoc Network , 2002 .

[6]  T. Ho,et al.  On Linear Network Coding , 2010 .

[7]  Ramesh R. Rao,et al.  Improving battery performance by using traffic shaping techniques , 2001, IEEE J. Sel. Areas Commun..

[8]  Srikanth V. Krishnamurthy,et al.  Distributed power control in ad-hoc wireless networks , 2001, 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598).

[9]  Qun Li,et al.  Online power-aware routing in wireless Ad-hoc networks , 2001, MobiCom '01.

[10]  Ivan Stojmenovic,et al.  Power-aware localized routing in wireless networks , 2000, Proceedings 14th International Parallel and Distributed Processing Symposium. IPDPS 2000.

[11]  Ying Zhu,et al.  Multicast with network coding in application-layer overlay networks , 2004, IEEE Journal on Selected Areas in Communications.

[12]  Chai-Keong Toh Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks , 2001 .

[13]  Takahiro Matsuda,et al.  Performance evaluation of new multicast architecture with network coding , 2003 .