A Balanced Cost Cluster-Heads Selection Algorithm for Wireless Sensor Networks
This paper focuses on reducing the power consumption
of wireless sensor networks. Therefore, a communication protocol
named LEACH (Low-Energy Adaptive Clustering Hierarchy) is modified.
We extend LEACHs stochastic cluster-head selection algorithm
by a modifying the probability of each node to become cluster-head
based on its required energy to transmit to the sink. We present
an efficient energy aware routing algorithm for the wireless sensor
networks. Our contribution consists in rotation selection of clusterheads
considering the remoteness of the nodes to the sink, and then,
the network nodes residual energy. This choice allows a best distribution
of the transmission energy in the network. The cluster-heads
selection algorithm is completely decentralized. Simulation results
show that the energy is significantly reduced compared with the
previous clustering based routing algorithm for the sensor networks.
[1] F. Akyidiz, W. Su, Y. Sankarasubramaniam, E. Cayirci. Wireless Sensor
Network: A Survey. Computer Networks vol. 38, no. 4, (2002) pp. 393-
422.
[2] K. Romer, O. Kastin, F. Mattern: Middleware Challenges for Wireless
Sensor Networks. ACM SIGMOBILE Mobile Computing and Communications
Review vol. 6, no. 4 (2002) 59-61.
[3] R. Shorey, A. Ananda, W. T. Ooi: Mobile , Wireless, and Sensor
Networks. 1st Edition, IEEE press, John Wiley & Sons, (2006).
[4] Khalid, Z., G. Ahmed, N. M. Khan, and P. Vigneras: A real-time
energy-aware routing strategy for wireless sensor networks,. accepted for
presentation in The 2007 Asia-Pacific Conference on Communications,
Bangkok , Thailand (2007).
[5] W.R. Heinzelman, A.P. Chandrakasan, H. Balakrishnan: An applicationspecific
protocol architecture for wireless microsensor networks, IEEE
Transactions on Wireless Communications 1 (4) (2002) 660-670.
[6] O. Zytoune, M. El aroussi, M. Rziza, D. Aboutajdine: Stochastic Low
Energy Adaptive Clustering Hierarchy, ICGST- CNIR, Volume (8), Issue
(1), (2008) pp 47-51.
[7] Hu Junping, Jin Yuhui, and Dou Liang: A Time-based Cluster-Head
Selection Algorithm for LEACH, In proceeding of IEEE Symposium on
Computers and Communications 2008 (ISCC 2008), July 6 - 9, 2008,
Marrakech, Morocco.
[1] F. Akyidiz, W. Su, Y. Sankarasubramaniam, E. Cayirci. Wireless Sensor
Network: A Survey. Computer Networks vol. 38, no. 4, (2002) pp. 393-
422.
[2] K. Romer, O. Kastin, F. Mattern: Middleware Challenges for Wireless
Sensor Networks. ACM SIGMOBILE Mobile Computing and Communications
Review vol. 6, no. 4 (2002) 59-61.
[3] R. Shorey, A. Ananda, W. T. Ooi: Mobile , Wireless, and Sensor
Networks. 1st Edition, IEEE press, John Wiley & Sons, (2006).
[4] Khalid, Z., G. Ahmed, N. M. Khan, and P. Vigneras: A real-time
energy-aware routing strategy for wireless sensor networks,. accepted for
presentation in The 2007 Asia-Pacific Conference on Communications,
Bangkok , Thailand (2007).
[5] W.R. Heinzelman, A.P. Chandrakasan, H. Balakrishnan: An applicationspecific
protocol architecture for wireless microsensor networks, IEEE
Transactions on Wireless Communications 1 (4) (2002) 660-670.
[6] O. Zytoune, M. El aroussi, M. Rziza, D. Aboutajdine: Stochastic Low
Energy Adaptive Clustering Hierarchy, ICGST- CNIR, Volume (8), Issue
(1), (2008) pp 47-51.
[7] Hu Junping, Jin Yuhui, and Dou Liang: A Time-based Cluster-Head
Selection Algorithm for LEACH, In proceeding of IEEE Symposium on
Computers and Communications 2008 (ISCC 2008), July 6 - 9, 2008,
Marrakech, Morocco.
@article{"International Journal of Electrical, Electronic and Communication Sciences:57968", author = "Ouadoudi Zytoune and Youssef Fakhri and Driss Aboutajdine", title = "A Balanced Cost Cluster-Heads Selection Algorithm for Wireless Sensor Networks", abstract = "This paper focuses on reducing the power consumption
of wireless sensor networks. Therefore, a communication protocol
named LEACH (Low-Energy Adaptive Clustering Hierarchy) is modified.
We extend LEACHs stochastic cluster-head selection algorithm
by a modifying the probability of each node to become cluster-head
based on its required energy to transmit to the sink. We present
an efficient energy aware routing algorithm for the wireless sensor
networks. Our contribution consists in rotation selection of clusterheads
considering the remoteness of the nodes to the sink, and then,
the network nodes residual energy. This choice allows a best distribution
of the transmission energy in the network. The cluster-heads
selection algorithm is completely decentralized. Simulation results
show that the energy is significantly reduced compared with the
previous clustering based routing algorithm for the sensor networks.", keywords = "Wireless Sensor Networks, Energy efficiency, WirelessCommunications, Clustering-based algorithm.", volume = "3", number = "4", pages = "820-4", }