In Wireless Sensor Network (WSN) to enhance the
network lifetime it’s a fundamental challenge. To enhance the
network lifetime, the area around the sink node forms a
bottleneck zone due to the heavy traffic flow which limits the
network lifetime in WSN. To improve the energy efficiency of
the bottleneck zone which leads to overall improvement of
network lifetime by considering low duty cycled WSN For
efficient communication paradigm has been adopted in the
bottleneck zone by low duty cycle. The sensor nodes are
generally classified into two groups: simple relay sensors and
network coder sensors. The relay nodes simply forward the
received data, whereas, the network coder nodes transmit using
the network coding algorithm. More volume of data will be
transmitted to the sink hence due to this energy efficiency of the
bottleneck zone increases. This improves the overall lifetime of
the network.
Punam Dhawad : Pursuing M.E from G.H. Raisoni College of
Engineering and Technology for Women Nagpur, Maharashtra, India.
Hemlata Dakhore : Pass out M.TECH in 2010 from G.H.Raisoni
College of Engineering, Nagpur, Maharashtra, India.
Wireless Sensor Networks
Low Duty Cycle
Network Coding
Network Lifetime
Energy Efficiency
In a wireless sensor network the area near the central
gathering point forms the bottleneck zone where the
traffic flow maximum, so we can reducing the power
consumption of source. The proposed scheme only
requires the local queue length for computing the duty
cycle, which adds good scalability, improved efficiency to
the system.
[1] Rashmi Ranjan Rout, Soumya K.
Ghosh,”Enhancement of lifetime using duty cycle and
network coading in WSN” IEEE Transaction On
Wireless Communication Vol.12,Feb2013.
[2] P. Dhivakar, K. Sindhanaiselvan, “Bottleneck Zone
Analysis in Wireless Sensor Network Using XOR
Operation and Duty Cycle,” International Journal
.Vol.2, March 2014.
[3] Liang He, Bo Jiang, Shuo Guo, Tian He,
“Opportunistic Flooding in Low-Duty-Cycle Wireless
Sensor Networks with Unreliable Links,” IEEE
Transaction On Computer Vol.1,March 2013.
[4] Chih-Min Chao, Lin-Fei Lien, and Chien-Yu Hsu,
“Rendezvous Enhancement in Arbitrary-Duty-Cycled
Wireless Sensor Networks,” IEEE Trans.
Communication , Vol. 12, No. 8, August 2013
[5] H. R. Karkvandi, E. Pecht, and O. Y.Pecht, “Effective
lifetime-aware routing in wireless sensor networks,”
IEEE Sensors J., vol. 11, no. 12,2011.
[6] Q. Wang and T. Zhang, “Bottleneck zone analysis in
energy-constrained wireless sensor networks,” IEEE
Commun. Lett., vol. 13, no. 6, June 2009.
[7] X. Y. Wang, R. K. Dokania, and A. Apsel, “PCObased
synchronization for cognitive duty-cycled
impulse radio sensor networks,” IEEE Sensors J., vol.
11, no. 3, pp. 555–563, 2008.
[8] C. F. Hsin and M. Liu, “Randomly duty-cycled
wireless sensor networks:dynamic of coverage,” IEEE
Trans. Wireless Commun., vol. 5, no. 11,pp. 3182–
3192, 2006.
[9] M. Bhardwaj, T. Garnett, and A. Chandrakasan,
“Upper bounds on the lifetime of sensor networks,” in
Proc. 2001 IEEE Int. Conf. of Communications
(ICC’01), 2001, pp. 785–790.
