Power and mobility aware routing in wireless ad hoc networks

Power and mobility aware routing in wireless ad hoc networks

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Nodes in a wireless ad hoc network have to support routing using their limited battery power resource. The routing protocol involved should use battery power efficiently for good system performance. For systems where node location information is available, this study proposes an on-demand routing protocol for choosing a route based on maximising the minimum node battery power and minimising the total transmission power required to reach the destination. In addition, the routing protocol proposed is able to restrict control packet flooding during route discovery and pre-empt link breakages because of node mobility. A power and mobility aware optimisation problem is first formulated. For an actual practical implementation, we present a heuristic scheme, Power and Mobility Aware Routing or PMAR protocol. PMAR performs almost as well as the proposed optimisation approach in static networks. In mobile networks, PMAR performs very well in terms of network lifetime, the number of data packets carried within the network lifetime and delay performance. It is shown to be energy efficient, effective in restricting control packet flooding and able to substantially reduce the network overheads caused by link breakages.


    1. 1)
    2. 2)
    3. 3)
      • Shen, J., Harms, J.: `Position-based routing with a power-aware weighted forwarding function in MANETs', Proc. IEEE Int. Performance, Computing and Communications Conf. 2004, 2004, 23, p. 347–355.
    4. 4)
    5. 5)
    6. 6)
      • Li, J., Mohapatra, P.: `a novel mechanism for flooding based route discovery in ad hoc networks', IEEE Globecom'03, 2003, p. 692–696.
    7. 7)
    8. 8)
      • Lu, T.‐E., Feng, K.-T.: `Predictive mobility and location-aware routing protocol in mobile ad hoc networks', IEEE Globecom 2005, 2005, p. 899–903.
    9. 9)
      • Arezoomand, A.S., Pourmina, M.: `Prolonging network operation lifetime with new maximum battery capacity routing in wireless mesh network', Int. Conf. Computer and Automation Engineering 2010, 2010, 4, p. 319–323.
    10. 10)
      • D.B. Johnson , D.A. Maltz , T. Imielinski , H. Korth . (1996) Dynamic source routing in ad hoc wireless networks, Mobile computing.
    11. 11)
    12. 12)
    13. 13)
    14. 14)
      • Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: `Energy-efficient communication protocol for wireless microsensor networks', Proc. Hawaii Int. Conf. System Sciences, January 2000.
    15. 15)
    16. 16)
      • K.M. Miettinen . (1999) Nonlinear multiobjective optimization.
    17. 17)
      • Lee, S.-J., Gerla, M., Chiang, C.‐C.: `On-demand multicast routing protocol', Proc. IEEE WCNC'99, September 1999, New Orleans, LA, p. 1298–1304.
    18. 18)
      • Abhyankar, S., Agrawal, D.P.: `Distributed mobility-aware route selection for wireless ad hoc networks', Proc. IEEE Int. Performance, Computing and Communications Conf., April 2002, Phoenix, USA, p. 241–247.
    19. 19)
      • QUALNET simulator. Available at
    20. 20)

Related content

This is a required field
Please enter a valid email address