Energy-Based Improved MPR Selection in OLSR Routing Protocol

  • Rachna JainEmail author
  • Indu Kashyap
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1042)


Wireless Ad hoc networks are consisting of wireless nodes that communicate over wireless medium without any centralized controller, fixed infrastructure, base station, or access point. The networks should be established in a distributed and decentralized way. Performance of mobile Ad hoc network depends on the routing scheme chosen. Extensive research has been taken place in recent years to suggest many proactive and reactive protocols to make them energy efficient. In this work, table-driven routing protocol, i.e., optimized link-state routing protocol (OLSR) is tried to make more energy efficient which also helps in prolonging the network lifetime. OLSR is a proactive routing protocol in Mobile Ad hoc Networks (MANETS) which is driven by hop-by-hop routing. The conventional OLSR is hybrid multipath routing, in which link-state information is forwarded only by Multi-Point Relays (MPRs) selected among one-hop and two-hop neighbor sets of host. In this work, a novel mechanism is introduced to select MPR among nodes neighbor set to make it more energy efficient by considering willingness of node. Proposed energy-aware MPR selection in MDOLSR is compared with conventional OLSR. Extensive simulations were performed using NS-2 simulator, and simulation results show improved network parameters such as higher throughput, more Packet Delivery Ratio (PDR) and lesser end-to-end delay as simulation time progresses.


Multi-point relay (MPR) Optimized link-state routing (OLSR) Packet delivery Ratio (PDR) Residual energy Throughput 


  1. 1.
    Chlamtac, I., Conti, M., Liu, J.J.N.: Mobile ad hoc networking: imperatives and challenges. Ad Hoc Netw. 1(1), 13–64 (2003)CrossRefGoogle Scholar
  2. 2.
    Conti, M., & Giordano, S.:. Multihop ad hoc networking: the evolutionary path. In: Mobile Ad Hoc Networking: Cutting Edge Directions, 2nd edn., pp. 1–33 (2013)Google Scholar
  3. 3.
    Clausen, T., Dearlove, C., Jacquet, P., Herberg, U.: The optimized link state routing protocol version 2. In: Internet Engineering Task Force (IETF), No. RFC 7181 (Standards Track) (2014)Google Scholar
  4. 4.
    Joshi, R.D., Rege, P.P.: Implementation and analytical modelling of modified optimised link state routing protocol for network lifetime improvement. IET Commun. 6(10), 1270–1277 (2012)CrossRefGoogle Scholar
  5. 5.
    De Rango, F., Fotino, M., Marano, S.: EE-OLSR: energy efficient OLSR routing protocol for mobile ad-hoc networks. In Military Communications Conference, 2008. MILCOM 2008. IEEE, pp. 1–7. IEEE (2008)Google Scholar
  6. 6.
    Guo, Z., Malakooti, S., Sheikh, S., Al-Najjar, C., Malakooti, B.: Multi-objective OLSR for proactive routing in MANET with delay, energy, and link lifetime predictions. Appl. Math. Model. 35(3), 1413–1426 (2011)CrossRefGoogle Scholar
  7. 7.
    Sakthivel, M., Palanisamy, V.G.: Enhancement of accuracy metrics for energy levels in MANETs. Comput. Electr. Eng. 48, 100–108 (2015)CrossRefGoogle Scholar
  8. 8.
    Jabbar, W.A., Ismail, M., Nordin, R.: Energy and mobility conscious multipath routing scheme for route stability and load balancing in MANETs. Simul. Model. Pract. Theory 77, 245–271 (2017)CrossRefGoogle Scholar
  9. 9.
    Jabbar, W.A., Ismail, M., Nordin, R.: Performance evaluation of MBA-OLSR routing protocol for MANETs. J. Comput. Netw. Commun. 2014, 10 (2014)Google Scholar
  10. 10.
    Natarajan, D., Rajendran, A.P.: AOLSR: hybrid ad hoc routing protocol based on a modified Dijkstra’s algorithm. EURASIP J. Wirel. Commun. Netw. 2014(1), 90 (2014)CrossRefGoogle Scholar
  11. 11.
    Dhanalakshmi, N., Alli, P.: Efficient energy conservation in MANET using energy conserving advanced optimised link state routing model. Int. J. Parallel Emergent Distrib. Syst. 31(5), 469–480 (2016)CrossRefGoogle Scholar
  12. 12.
    Moussaoui, A., Semchedine, F., Boukerram, A.: A link-state QoS routing protocol based on link stability for mobile ad hoc networks. J. Netw. Comput. Appl. 39, 117–125 (2014)CrossRefGoogle Scholar
  13. 13.
    De Rango, F., Guerriero, F., Fazio, P.: Link-stability and energy aware routing protocol in distributed wireless networks. IEEE Trans. Parallel Distrib. Syst. 23(4), 713–726 (2012)CrossRefGoogle Scholar
  14. 14.
    De Rango, F., Cano, J.C., Fotino, M., Calafate, C., Manzoni, P., Marano, S.: OLSR vs DSR: a comparative analysis of proactive and reactive mechanisms from an energetic point of view in wireless ad hoc networks. Comput. Commun. 31(16), 3843–3854 (2008)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Manav Rachna International Institute of Research and StudiesFaridabadIndia

Personalised recommendations