Abstract

The aim of this study is to present a system which uses a new layered network architecture approach for IOT. Sudden and unpredictable large-scale changes are commonly prevalent in Internet of Things (IoT). The images or video data captured from the remote places have to be routed without delay. This is a tumultuous task in large scale. By using an Agents in various wireless networks and the packets are routed depends on the priority. The scope of this study is to avoid delay, interference during transfer of data from various wireless networks. This study deals with (i) congestion free data transfer under many cramped networks (ii) low processing overhead (iii) handling realistic failure scenarios, prioritized traffic in a flexible manner (iv) robust to both topology failures and traffic variations. This study presents a QoS routing method, by setting a priority to the networks to differentiate eclectic sensing vicinities in the smart space between sender and receiver.

Keywords:

Context aware in IoT, IOT architecture, priority routing in IoT, QOS in IOT, routing in IoT,

References

1. Atzori, L., A. Lera and G. Morabito, 2010. The internet of things: A survey. Comput. Netw., 54(15): 2787-2805.
   CrossRef    
2. Bandyopadhyay, D. and J. Sen, 2011. Internet of things-applications and challenges in technology and standardization. Wireless Pers. Commun., 58(1): 49-69.
   CrossRef    
3. Gluhak, A., S. Krco, M. Nati, D. Pfisterer, N. Mitton and T. Razafindralambo, 2011. A survey on facilities for experimental internet of things research. IEEE Commun. Mag., 49(11): 58-67.
   CrossRef    
4. Gubbia, J., R. Buyya, S. Marusic and M. Palaniswami, 2013. Internet of things (IoT): A vision, architectural elements, and future directions. Future Gener. Comp. Sy., 29(7): 1645-1660.
   CrossRef    
5. Incebacak, D., B. Tavli, K. Bicakci and A. Altin-Kayhan, 2013. Optimal number of routing paths in multi-path routing to minimize energy consumption in Wireless sensor networks. EURASIP J. Wirel. Comm., 2013: 257.
   CrossRef    
6. Li, Z., J. Bi and S. Chen, 2013. Traffic prediction-based fast rerouting algorithm for wireless multimedia sensor networks. Int. J. Distrib. Sens. N., 2013: 11, Article ID 176293.
   
7. Vithya, G. and B. Vinayagasundaram, 2014. Delay sensitive opportunistic and habitual routing in wireless multimedia sensor networks. J. Theor. Appl. Inform. Technol., 67(1): 136-144.
   
8. Wang, P. and I.F. Akyildiz, 2013. Asymptotic queuing analysis for dynamic spectrum access networks in the presence of heavy tails. IEEE J. Sel. Area. Comm., 31(11): 2161-2172.
   CrossRef    
9. Wang, X., M. Chen, T. Kwon and H.C. Chao, 2011. Multiple mobile agents' itinerary planning in wireless sensor networks: Survey and evaluation. IET Commun., 5(12): 1769-1776.
   CrossRef    

Competing interests

The authors have no competing interests.

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The authors have no competing interests.