With the advent of Wireless Technology, various applications in traditional wired networks have been adopted in Wireless Networks such as Ad Hoc Networks, Wireless Sensor Networks etc. Owing to limited energy in these devices power saving is very critical to prolong the lifetime of these devices. If the objective is to transmit multimedia, it is required to balance the power control and lifetime with the end to end Quality Constraints. Our work finds a mechanism to minimize the energy consumption while satisfying the QoS for Multimedia. In this work, we use cross-layer optimization mechanism based on power control for Maximal Minimal Residual Energy- Ad Hoc On Demand Multipath Distance Vector (MMRE-AOMDV) routing protocol and the optimization mechanism is subject to certain QoS requirement in terms of total end-to end Quality Level. The proposed Sink Based MMRE-AOMDV routing algorithm uses the information such as image size, node gain, noise information available in the route request packets to calculate the optimal power vectors and the number of packets that can be sent by the source for each disjoint path in the route reply packets. The source is freed from the complex algorithmic executions and hence the energy needed for this purpose is conserved. It is assumed that energy is not a constraint for the sink and it has abundant computational power.

1. V. Srivastana and M. Motani, "Cross-layer design: a survey and the road ahead," IEEE Commun. Mag. , vol. 43, no. 12, pp. 112–119, Dec. 2005.
2. S. Cui, A. J. Goldsmith, A. Bahai, "Energy-constrained modulation optimization", IEEE Transactions on Wireless Communication, Vol. 4, no. 5, pp. 2349 - 2360, Sept. , 2005.
3. C. V. Phan, Y. Park, H. H. Choi, J. Cho, J. G Kim, "An energy-efficient transmission strategy for wireless sensor networks", IEEE Transactions on Consumer Electronics, vol. 56 , no. 2, pp. 597 – 605, May 2010.
4. H. Sung-hwa; K. Hoon-ki, "A multi-hop reservation method for end-to-end latency performance improvement in asynchronous MAC-based wireless sensor networks", IEEE Trans. on Consumer Electronics, vol. 55 , no. 3, pp. 1214 – 1220, Aug. 2009.
5. Al-Karaki, A. E. Kamal, "Routing Techniques in Wireless Sensor Networks: A Survey", IEEE Communications Magazine, vol 11, no. 6, pp. 6-28, Dec. 2004.
6. Yumei Liu et. al, "Energy Efficient on–demand Multipath Routing Protocol for Multi-hop Ad Hoc Networks" , IEEE,2008.
7. F. Liu, C-Y. Tsui, J. Jun, "Joint routing and sleep scheduling for lifetime maximization of wireless sensor networks", IEEE Transactions on Wireless Communications, vol. 9 , no. 7, pp. 2258-2267, July 2010.
8. M. A Azim et. al, "An optimized forwarding protocol for Lifetime extension of Wireless Sensor Networks", Wireless Communications and Mobile Computing, February,2008
9. Wei Wang et. al, "Energy-Constrained Quality Optimization for Secure Image Transmission inWireless Sensor Networks", Advances in Multimedia, Hindawi Publishing Corporation, Volume 2007.
10. Song Ci et. al, "A Theoretical Framework for Quality-Aware Cross-Layer Optimized Wireless Multimedia Communications, Advances in Multimedia, Hindawi Publishing Corporation, Volume 2008.
11. Na Yang et. al, "Cross-layer Energy Optimization Under Image Quality Constraints for Wireless Image Transmissions", IEEE conference, 2012
12. B. Malarkodi et. al , "Performance Evaluation of AOMDV-PAMAC Protocols for AdHoc Networks", World Academy of Science, Engineering and Technology, 2010
13. Islam T. Almalkawiet. Al, "A Cross-Layer-Based Clustered Multipath Routing with QoS-Aware Scheduling for Wireless Multimedia Sensor Networks",HindawiPublishing Corporation, International Journal of Distributed Sensor Networks, 2012
14. FuadAlnajjar et. al, "SNR/RP Aware Routing Algorithm:Cross-Layer Design For MANETs" International Journal of Wireless & Mobile Networks (IJWMN), Vol 1, No 2, November, 2009
15. T. S. Rappaport, Wireless Communications Principlesand Practice. Prentice Hall, 2nded. ,2002.

Mmre Aomdv Multimedia Power Control