Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Power control strategy for clustering wireless sensor networks based on multi-packet reception

For the requirements of energy saving in wireless sensor networks (WSNs), this study proposes a transmission power control strategy for cluster heads (CHs) based on multi-packet reception in clustering WSNs. First, this study proposes a new CHs selection algorithm for clustering WSNs. Second, transmission power levels of each CH are determined according to the number of CHs in monitoring area. Third, with restrictions of successive interference cancellation algorithm in sink, transmission power control strategy for CHs are determined by distance from CHs to sink and residual energy of CHs. For whole network, single-hop communication mode is designed to send data from sensor nodes to CHs, at the same time; it is also applied to send data from CHs to sink. Simulation results show that this power control strategy can reduce the energy consumption of sensor nodes and increase network throughput, which can greatly improve network lifetime. The authors believe that their findings will be useful guidelines for moving forward with successive interference cancellation research in WSNs.

References

    1. 1)
      • 17. Kawadia, V., Kumar, P.R.: ‘Power control and clustering in ad hoc networks’, in Bauer, F. (Ed.): ‘Proc. INFOCOM’ (San Francisco, IEEE Press, 2003), pp. 459469.
    2. 2)
      • 7. Jiang, C., Shi, Y., Hou, T.: ‘Squeezing the most out of interference: an optimization framework for joint interference exploitation and avoidance’. Proc. IEEE INFOCOM, Orlando, FL, USA, 25–30 March 2012, pp. 424432.
    3. 3)
      • 2. Shih, E., Bahl, P., Sinclair, M.: ‘Wake on wireless: an event driven energy saving strategy for battery operated devices’. Proc. of ACM MobiCom, Atlanta, Georgia, September 2001, pp. 160171.
    4. 4)
    5. 5)
      • 5. Lv, S., Zhuang, W., Wang, X., Zhou, X.: ‘Scheduling in wireless ad hoc networks with successive interference cancellation’. Proc. IEEE INFOCOM, Shanghai, China, April 2011, pp. 12821290.
    6. 6)
      • 15. Lin, S., Zhang, J.B., Zhou, G., Gu, L., He, T., Stankovic, A.: ‘ATPC: adaptive transmission power control for wireless sensor networks’, In Campbell, A., (Ed.): ‘Proc. Senses’ (ACM Press, Boulder, 2006), pp. 223236.
    7. 7)
      • 17. Kawadia, V., Kumar, P.R.: ‘Power control and clustering in ad hoc networks’, in Bauer, F. (Ed.): ‘Proc. INFOCOM’ (San Francisco, IEEE Press, 2003), pp. 459469.
    8. 8)
      • 4. Jiang, C., Shi, Y., Hou, Y.T., Lou, W., Kompella, S., Midkiff, S.F.: ‘Squeezing the most out of interference: an optimization framework for joint interference exploitation and avoidance’. Technical Report, the Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, July 2011.
    9. 9)
      • 16. Narayanaswamy, S., Kawadia, V., Sreenivas, R.S.: ‘Power control in ad-hoc networks: theory, architecture, algorithm and implementation of the COMPOW protocol’. In Lenzini, L., (Ed.) Proc. European Wireless Conf., Florence, 2002, pp. 156162.
    10. 10)
      • 10. Gupta, I., Riordan, D., Sampalli, S.: ‘Cluster-Head election using fuzzy logic for wireless sensor networks’. Proc. Third Annual Communication Networks and Services Research Conf. Halifax, IEEE Computer Society, 2005, pp. 255260.
    11. 11)
      • 8. Han, M.J., Haase, M., Timmermann, D.: ‘Low energy adaptive clustering hierarchy with deterministic cluster-head selection’. Proc. of the Fourth IEEE Conf. on Mobile and Wireless Communications Networks, IEEE Communications Society, Stockeholm, 2002, pp. 368372.
    12. 12)
    13. 13)
      • 6. Blomer, J., Jindal, N.: ‘Transmission capacity of wireless ad hoc networks: successive interference cancellation vs. joint detection’. Proc. IEEE ICC, Dresden, Germany, June 2009, pp. 5.
    14. 14)
      • 22. Kleinrock, L., Silvester, J.A.: ‘Optimum transmission radius for packet radio networks or why six is a magic number’. Proc. IEEE National Telecommunications Conf., Birmingham, IEEE Press, 1978, pp. 431435.
    15. 15)
    16. 16)
      • 14. Kumar, D.: ‘Performance analysis of energy efficient clustering protocols for maximizing lifetime of wireless sensor networks’. IET Wireless Sensor Systems, September 2013, pp. 18.
    17. 17)
    18. 18)
      • 11. Al-Karaki, J.N., Ul-Mustafa, R., Kamal, A.E.: ‘Data aggregation in wireless sensor networks – exact and approximate algorithms’. Proc. of the IEEE Workshop on High Performance Switching and Routing, Phoenix, IEEE Communications Society, 2004, pp. 241245.
    19. 19)
      • 18. Pursley, M.B., Russell, H.B., Wysocarski, J.S.: ‘Energy-efficient transmission and routing protocols for wireless multiple-hop networks and spread-spectrum radios’. Proc. EUROCOMM 2000, Munich, IEEE Press, 2000, pp. 15.
    20. 20)
    21. 21)
    22. 22)
      • 9. Younis, O., , Fahmy, S.: ‘HEED: a hidden, energy-efficient distributed clustering approach for ad hoc sensor networks’, IEEE Trans. Mob. Comput., 2007, 3, (4), pp. 366379.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-wss.2013.0108
Loading

Related content

content/journals/10.1049/iet-wss.2013.0108
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address