Energy-aware routing in Mobile Ad-Hoc Networks

The next generation communication systems will provide high quality multimedia services in a flexible and efficient manner. As an extension of next generation networks, Mobile Ad Hoc Networks (MANETs) have attracted significant attention amongst researchers. Nodes in a MANET have limited battery power. Hence, ad hoc routing protocols ought to be energy conservative to support real-time multimedia services. In this paper, we propose a proactive routing protocol which gives better performance and satisfies the basic power aware parameters like minimum energy consumption per packet, maximum network lifetime, and minimum variance in the node power levels. We use breadth first search to gather the network topology.. From this global information, a least cost path is generated using Dijkstra's shortest path algorithm. This least cost path has better battery resources and is refreshed after some fixed intervals of data packet delivery to keep the variance in residual battery power to minimum. Our simulation results show that the proposed protocol provides good service to different types of media while conserving energy.

[1]  Vikram Srinivasan,et al.  Optimal rate allocation for energy-efficient multipath routing in wireless ad hoc networks , 2004, IEEE Transactions on Wireless Communications.

[2]  A. Laouiti,et al.  Optimized link state routing protocol for ad hoc networks , 2001, Proceedings. IEEE International Multi Topic Conference, 2001. IEEE INMIC 2001. Technology for the 21st Century..

[3]  Charles E. Perkins,et al.  Highly Dynamic Destination-Sequenced Distance-Vector Routing (DSDV) for mobile computers , 1994, SIGCOMM.

[4]  C. Siva Ram Murthy,et al.  Ad Hoc Wireless Networks: Architectures and Protocols , 2004 .

[5]  Lang Tong,et al.  Energy-Aware Adaptive Routing for Large-Scale Ad Hoc Networks: Protocol and Performance Analysis , 2007, IEEE Transactions on Mobile Computing.

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

[7]  Baoxin Li,et al.  Improved Path Selection Algorithms for Multipath Video Streaming in Wireless Ad-Hoc Networks , 2007, MILCOM 2007 - IEEE Military Communications Conference.

[8]  Michael T. Goodrich,et al.  Education forum: Web Enhanced Textbooks , 1998, SIGA.

[9]  S. M. Heemstra de Groot,et al.  Power-aware routing in mobile ad hoc networks , 1998, MobiCom '98.

[10]  Mohammed Tarique,et al.  Energy saving dynamic source routing for ad hoc wireless networks , 2005, Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05).

[11]  Charles E. Perkins,et al.  Ad Hoc Networking , 2001 .

[12]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[13]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[14]  Teresa H. Meng,et al.  Minimum energy mobile wireless networks , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[15]  Joseph Naor,et al.  Maximum-lifetime routing: system optimization & game-theoretic perspectives , 2007, MobiHoc '07.