access icon free Congestion control and energy-balanced scheme based on the hierarchy for WSNs

© The Institution of Engineering and Technology
Received 24/07/2015, Accepted 13/08/2016, Revised 10/05/2016, Published 19/08/2016

The problem of congestion control with balanced-energy is important for application of WSNs, since the limited resources and many-to-one communication model often result in congestion and unbalanced energy consumption. In this study, a hierarchy-based congestion control and energy-balanced scheme is proposed. The network model is firstly initialised into a hierarchical topology, by which these neighbour nodes of a node will be explicitly divided into three kinds, i.e., the same hierarchical nodes, the upstream nodes, and the downstream nodes. Then, in the proposed congestion avoidance method, the node will use other lower hierarchy neighbour nodes to forward data when its downstream node will be congested. After that, the congestion control mechanism will detect the congestion via the queue length, forwarding and receiving rate, and inform its upstream nodes to find other next hop to release the congestion. The balanced energy consumption strategy will balance the energy consumption of lower hierarchy nodes by using the node with the most remaining energy. Meanwhile, by using the same hierarchy nodes, the remaining energy of all the nodes in the same hierarchy is balanced. Simulation results show that the proposed algorithm can effectively deal with the network congestion and unbalanced energy consumption.

Inspec keywords: wireless sensor networks; telecommunication congestion control; power consumption; telecommunication power management; telecommunication network topology

Other keywords: upstream nodes; CcEbH algorithm; balanced energy consumption strategy; downstream nodes; congestion control and energy-balanced scheme based on the hierarchy; queue length; node congestion detection; many-to-one communication model; congestion avoidance method; hierarchical topology; forwarding rate; unbalanced energy consumption; network model; receiving rate; hierarchical nodes; WSN hierarchy; sensor nodes; wireless sensor networks

Subjects: Wireless sensor networks; Telecommunication systems (energy utilisation); Control applications in radio and radar; Communication network design, planning and routing

References

    1. 1)
      • 6. Kafi, M.A., Djenouri, D., Ben-Othman, J., et al: ‘Congestion control protocols in wireless sensor networks: a survey’, IEEE Commun. Surv. Tutor., 2014, 16, (3), pp. 1369–1390.
    2. 2)
      • 9. Li, J., Mohapatra, P.: ‘Analytical modeling and mitigation techniques for the energy hole problem in sensor networks’, Pervasive Mob. Comput., 2007, 3, (3), pp. 233–254.
    3. 3)
      • 19. Sergiou, C., Vassiliou, V., Paphitis, A.: ‘Hierarchical tree alternative path (HTAP) algorithm for congestion control in wireless sensor networks’, Ad Hoc Netw., 2013, 11, (1), pp. 257–272.
    4. 4)
      • 8. Ansari, M.S., Mahani, A., Kavian, Y.S.: ‘Energy-efficient network design via modelling: optimal designing point for energy, reliability, coverage and end-to-end delay’, Netw. IET, 2013, 2, (1), pp. 11–18.
    5. 5)
      • 4. Ghaffari, A.: ‘Congestion control mechanisms in wireless sensor networks: a survey’, J. Netw. Comput. Appl., 2015, 52, pp. 101–115.
    6. 6)
      • 21. Sergiou, C., Vassiliou, V., Paphitis, A.: ‘Congestion control in wireless sensor networks through dynamic alternative path selection’, Comput. Netw., 2014, 75, pp. 226–238.
    7. 7)
      • 13. Gagarin, A., Hussain, S., Yang, L.T.: ‘Distributed hierarchical search for balanced energy consumption routing spanning trees in wireless sensor networks’, J. Parallel Distrib. Comput., 2010, 70, (9), pp. 975–982.
    8. 8)
      • 12. Karim, L., Nasser, N.: ‘Reliable location-aware routing protocol for mobile wireless sensor networks’, IET Commun., 2012, 6, (14), pp. 2149–2158.
    9. 9)
      • 16. Annie, U.R., Kasmir Raja, S.V., Antony, J., et al: ‘Energy-efficient predictive congestion control for wireless sensor networks’, IET Wirel. Sens. Syst., 2015, 5, (3), pp. 115–123.
    10. 10)
      • 2. Yick, J., Mukherjee, B., Ghosal, D.: ‘Wireless sensor network survey’, Comput. Netw., 2008, 52, (12), pp. 2292–2330.
    11. 11)
      • 1. Rahman, K.C.: ‘A survey on sensor network’, J. Comput. Inf. Technol., 2010, 1, (1), pp. 76–87.
    12. 12)
      • 20. Antoniou, P., Pitsillides, A., Blackwell, T., et al: ‘Congestion control in wireless sensor networks based on bird flocking behavior’, Comput. Netw., 2013, 57, (5), pp. 1167–1191.
    13. 13)
      • 3. Wang, C., Sohraby, K., Li, B., et al: ‘A survey of transport protocols for wireless sensor networks’, IEEE Netw., 2006, 20, (3), pp. 34–40.
    14. 14)
      • 14. Khedr, M.A, Omar, D.M.: ‘SEP-CS: effective routing protocol for heterogeneous wireless sensor networks’, Ad Hoc Sensor Wirel. Netw., 2015, 26, pp. 211–234.
    15. 15)
      • 17. Antoniou, P., Pitsillides, A.: ‘A bio-inspired approach for streaming applications in wireless sensor networks based on the Lotka–Volterra competition model’, Comput. Commun., 2010, 33, (17), pp. 2039–2047.
    16. 16)
      • 7. Sergiou, C., Vassiliou, V.: ‘Alternative path creation vs data rate reduction for congestion mitigation in wireless sensor networks’. Proc. of the 9th ACM/IEEE Int. Conf. on Information Processing in Sensor Networks, 2010.
    17. 17)
      • 5. Flora, J.: ‘A survey on congestion control techniques in wireless sensor networks’. Int. Conf. on Emerging Trends in Electrical and Computer Technology, 2011.
    18. 18)
      • 18. Yin, X., Zhou, X., Huang, R., et al: ‘A fairness-aware congestion control scheme in wireless sensor networks’, IEEE Trans. Veh. Technol., 2009, 58, (9), pp. 5225–5234.
    19. 19)
      • 11. Kleerekoper, A., Filer, N.P.: ‘DECOR: distributed construction of load balanced routing trees for many to one sensor networks’, Ad Hoc Netw., 2014, 16, pp. 225–236.
    20. 20)
      • 15. Wang, G., Liu, K.: ‘Upstream hop-by-hop congestion control in wireless sensor networks’. IEEE Int. Symp. on Personal, Indoor and Mobile Radio Communications, Tokyo, Japan, 2009, pp. 1406–1410.
    21. 21)
      • 10. Stojmenovic, I., Olariu, S.: ‘Data-centric protocols for wireless sensor networks’. Handbook of Sensor networks, John Wiley & Sons, NJ, USA, 2005, pp. 417–456.
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