A REPLACEMENT BASED ASSOCIATION SYSTEM TO REDUCE DOWNLOAD TIME AND POWER CONSUMPTION

Kodati Bharathi, S Anjaniprasad

Abstract


The easy method may be to attach the complete routing path in each packet. The problem is that overhead can be great for packets with long routing paths. Using the routing path for each packet, many measurement and diagnostic methods can make effective management and protocol improvements in the WSN format, which consists of a large number of invisible sensor nodes. Path offers a new way to break the light to see if there are recovered tracks. To further improve inference capability and effective implementation, the path provides a quick format to begin rebuilding the first set of tracks. To be effective and effective, two types of problems must be addressed. The HASH function must be light and efficient enough, since it must operate on sensors with limited resources. Using the routing path for each packet, many measurement and diagnostic methods can make effective management and protocol improvements in the WSN format, which consists of a large number of invisible sensor nodes. We implemented the trail and evaluated its performance using large-scale WSN applications as well as comprehensive simulations. The results reveal that the band achieves much higher refresh rates in different network configurations compared to other modern methods. Compared to Path Zip, the path uses a great similarity between several fast inference packages, resulting in much better development.


References


M. Ceriotti et al., “Monitoring heritage buildings with wireless sensornetworks: The Torre Aquila deployment,” in Proc. IPSN, 2009, pp.277–288.

R. Lim, C. Walser, F. Ferrari, M. Zimmerling, and J. Beutel, “Distributedand synchronized measurements with FlockLab,” in Proc.SenSys, 2012, pp. 373–374.

Yi Gao, Student Member, IEEE, Wei Dong, Member, IEEE, Chun Chen, Member, IEEE,Jiajun Bu, Member, IEEE, ACM, Wenbin Wu, and Xue Liu, Member, IEEE, “iPath: Path Inference in Wireless Sensor Networks”, ieee/acm transactions on networking, vol. 24, no. 1, february 2016.

L. Ma, T. He, K. K. Leung, A. Swami, and D. Towsley, “Identifiability of link metrics based on end-to-end path measurements,” in Proc. IMC, 2013, pp. 391–404.

R. Lim, C. Walser, F. Ferrari, M. Zimmerling, and J. Beutel, “Distributedand synchronized measurements with FlockLab,” in Proc.SenSys, 2012, pp. 373–374.

Y. Yang, Y. Xu, X. Li, and C. Chen, “A loss inference algorithm forwireless sensor networks to improve data reliability of digital ecosystems.,”IEEE Trans. Ind. Electron., vol. 58, no. 6, pp. 2126–2137, Jun.2011.

J. Wang, W. Dong, Z. Cao, and Y. Liu, “On the delay performanceanalysis in a large-scale wireless sensor network,” in Proc. IEEE RTSS,2012, pp. 305–314.


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