MAXIMUM CONNECTED LOAD BALANCING COVER TREE ALGORITHM FOR WIRELESS SENSOR NETWORK

T. Swathi, M. Baritha Begum

Abstract


In wireless sensor network the main problem is in the network lifetime, power transmission, energy consumption, speed and bandwidth for transmitting the packets and another problem is that the sink node can connect only with the limited nodes if more number of nodes is connected means then there may be occurrence of traffic and the data information can be eliminated. In order to overcome this problem maximum connected load balancing cover tree (MCLCT) algorithm is used. In various studies it is observed that the MCLCT has more network lifetime, power transmission and energy consumption when compared to the other methods and also to solve the optimization problem simulated annealing algorithm is used to transmit the data which form minimum movement in wireless sensor network and which can achieve both target coverage (TCOV) and network connectivity (NCON).


Full Text:

PDF

References


“CompressiveData Gathering Based on Even Clustering for Wireless Sensor Networks”IEEE Access, may 24 2018

D.Ebrahimi and C. Assi, “Compressive data gathering using random projection for energy efficient wireless sensor networks,” Ad Hoc Networks, vol.16, pp.105-119, 2014.

X. G. Wu, Y. Xiong, W. C. Huang, H. Shen, and M. X. Li, “ An efficient compressive data gathering routing scheme for large-scale wireless sensor networks,” Computers & Electrical engineering,vol.39,no.6,pp.1935-1946,2013.

M. A. Razzaque and S. Dobson “Energy-Efficient Sensing in Wireless Sensor Networks Using Compressed Sensing”, Sensors 2014.

Dariush Ebrahimi and Chadi Assi, “optimal and efficient algorithms for projection based compressive data gathering” IEEE communication letters, vol. 17, no. 8, August 2017.

Xiaofei Xing , Dongqing and Guojun wang “Data Gathering and Processing for Large-Scale Wireless Sensor Networks” Mobile Ad-hoc and Sensor Networks, 2013 IEEE.

D. L. Donoho, “Compressed Sensing,” IEEE Trans. Information Theory, IEEE Journals and Magazines Apr 2006.

Chang Luo , Feng wu , Jun Sun , Chang wen chen “Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering” wireless communications, vol. 9, no. 12, december 2010.

Yuanyuan Liu, Baishan Ci, Wentao Zhao, Lu Zhu, Aiyun Zhan “the method of cluster compressive data gathering based on pre-treatment”

Haifeng Zheng, Shilin Xiao, Xinbing Wang, Xiaohua Tian, and Mohsen Guizani, “Capacity and Delay Analysis for Data Gathering with Compressive Sensing in Wireless Sensor Networks”, IEEE 2013.


Refbacks

  • There are currently no refbacks.