Node Selection Based on Energy Consumption in MANET

In a Mobile Ad hoc Network, the mobility of a node is unpredictable. The mobility is considered as one of the characteristics of a wireless network. In addition, the energy constraint of the nodes must also be taken into consideration when designing routing protocols. This is an important issue since energy consumption reduces the wireless network connection lifetime. The nodes in MANET are fitted with batteries with limited capacities. In order to achieve an optimum route connection by extending the network lifetime, the distance factor of the source-intermediate-destination needs to be combined with the initial energy of the node when selecting a participating node in a route path. A probability based node selection method is proposed in this paper for identifying the intermediate node with optimum stored energy that could withstand through duration of connection. The algorithm has been tested with simulations and it has been proved that the node with the largest probability consumes the lowest energy. This not only helps to sustain the communication with the lowest chance of interruption, but also prolongs the network lifetime due to the lowest possible consumption of energy for a given communication.

[1]  Weifa Liang,et al.  Minimizing energy and maximizing network lifetime multicasting in wireless ad hoc networks , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[2]  Guangwei Bai,et al.  A power-aware multipath routing protocol for IEEE802.11e wireless ad hoc networks , 2008, 2008 Third International Conference on Communications and Networking in China.

[3]  Leandros Tassiulas,et al.  Maximum lifetime routing in wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[4]  B P Vijaya Kumar,et al.  EAAC: Energy-Aware Admission Control Scheme for Ad Hoc Networks , 2009 .

[5]  Mohamed Mostafa A. Azim MAP: Energy Efficient Routing Protocol for Wireless Sensor Networks , 2009, Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications.

[6]  Elif Uysal-Biyikoglu,et al.  Energy-efficient scheduling of packet transmissions over wireless networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[7]  Young-Koo Lee,et al.  Prolonging the Lifetime of Wireless Sensor Networks via Hotspot Analysis , 2010, 2010 10th IEEE/IPSJ International Symposium on Applications and the Internet.

[8]  B. S. Abdur Optimal Path Selection Technique for Flooding in Link State Routing Protocol using Forwarding Mechanisms in MANET , 2010 .

[9]  Zhongwen Guo,et al.  Distance-based energy efficient placement in wireless sensor networks , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[10]  Ellen W. Zegura,et al.  The energy-limited capacity of wireless networks , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[11]  Joongseok Park,et al.  Maximum Lifetime Routing In Wireless Sensor Networks ∗ , 2005 .

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

[13]  Yan Shi,et al.  An improved router placement algorithm based on energy efficient strategy for wireless networks , 2009, 2009 ISECS International Colloquium on Computing, Communication, Control, and Management.

[14]  Liza Abdul Latiff,et al.  Routing protocols in wireless mobile ad hoc network - a review , 2003, 9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732).

[15]  Archan Misra,et al.  Adapting Transmission Power for Optimal Energy Reliable Multi-hop Wireless Communication , 2003 .