Energy Efficiency in Wireless Sensor Network Using Green TBS Approach

  • Pooja Jadhav
  • Vivek Kadam


Typically in the wireless sensor network, sensor
nodes assigned for task execution. The scheduling of the
individual task in wireless sensor network has typically a strong
influence on the achievable performance. The Number of routing
challenges and design issues like node placement and energy
consumption can affect the routing process in wireless sensor
networks. Therefore this new approach for energy efficiency is
introduced. The concept of power adaptation with sleep and
wake-up is merged in this green task based sensing method. This
will overcome the challenges like nodes availability,
synchronization process, and overall network efficiency and also
will help to avoid the detailing in classical routing technique. In
network simulator ns2, with reference of variations in total no. of
nodes the performance of this method is evaluated. And the
results are obtained on the basis of performance measurement
parameters such as Event delivery ratio (EDR), time delay,
residual energy (average) and control overhead. The obtained
results are justified on the basis satisfactory performance of the
considered system against the energy efficiency constraint.

Keywords: energy efficiency, green task based sensing, wireless sensor network analysis


[1] A.Alhalafi, L. Sboui, R. Naous, and B. Shihada , “gTBS: A Green Task-
Based Sensing for energy efficient wireless sensor network ,” IEEE
conference on computer communications workshop, 978-1-4673-9955-5
[2] A. Prayati, C. Antonopoulos, T. Stoyanova, C. Koulamas, and G.
Papadopoulos, “A Modeling Approach on the TelosB WSN Platform
Power Comsumption” Journal of system and software, vol 83, no 8,pp
1355-1363 (2010
[3] A. Tripathi, N. Yadav, and R. Dadhich, “Secure-Spin with Cluster for
Data Centric Wireless Sensor Networks,” In Proceeding of Fifth
International Conference on Advanced Computing and Communication
Technologies (ACCT), IEEE, pp. 347 – 351 (2015)
[4] M. Kubisch, H. Karl, A. Wolisz, L. C. Zhong, and J. Rabaey,
“Distributed Algorithms for Transmission Power Control in Wireless
Sensor Networks,” In Proceeding of IEEE Wireless Communications
and Networking (WCNC), Vol. 1, pp. 558–563 (2003)
[5] S. Charalambos and V. Vasos, “Source-based Routing Trees for Efficient
Congestion Control in Wireless Sensor Networks,” In Proceeding of
IEEE 8th International Conference on Distributed Computing in Sensor
Systems (DCOSS), IEEE, pp. 378 – 383 (2012).
[6] Y.Yao, Q. Cao, and A. V. Vasilakos, “EDAL: An Energy-Efficient,
Delay-Aware, and Lifetime-Balancing Data Collection Protocol for
Heterogeneous Wireless Sensor Networks,” IEEE/ACM
[7] B.jiang, B.Ravindran, C. Hyeonjoong, “Probability based prediction and
sleep scheduling for energy efficient for Energy-Efficient Target
Tracking in Sensor Networks,” IEEE TRANSACTIONS ON MOBILE
COMPUTING, VOL. 12, NO. 4, APRIL (2013)
[8] A.Alhalafi, N. Javaid, A. Iqbal, Z. A. Khan, and N. Alrajeh, “On
adaptive energy-efficient transmission in WSNs,” International Journal
of Distributed Sensor Networks, vol. 2013, no. 10, p. 10, (2013)
[9] D.Son, B. Krishnamachari, and J. Heidemann, “Experimental study of
the effects of transmission power control and blacklisting in wireless
sensor networks,” in IEEE Communications Society Conference on
Sensor and Ad Hoc Communications and Networks (SECON’14), pp.
289–298, (2004)
[10] W.Ye, J. Heidemann, and D. Estrin, “Medium access control with
coordinated adaptive sleeping for wireless sensor networks,”
IEEE/ACM Transactions on Networking, vol. 12, pp. 493–506, (2004)
[11] Y.Song, L. Liu, H. Ma, and A. V. Vasilakos, “A biology-based algorithm
to minimal exposure problem of wireless sensor networks,” IEEE
Transactions on Network and Service Management, vol. 11, no. 3,pp.
417–430, (2014)
[12] D. Singh, S Sharma, V. Jain and J Gajrani, “ Energy efficient source
based tree routing with time stamp in WSN” International Conference
on Signal propagation and computer Technology (ICSPCT) IEEE (2014)
0 Views | 0 Downloads
How to Cite
Jadhav, P., & Kadam, V. (2019). Energy Efficiency in Wireless Sensor Network Using Green TBS Approach. Asian Journal For Convergence In Technology (AJCT). Retrieved from