You are here

A new fuzzy method for clustering heterogeneous nodes in Wireless Sensor Networks (WSNs)

Journal Name:

Publication Year:

Abstract (2. Language): 
A Wireless Sensor network (WSN) contains a considerable number of sensor nodes and one base station where information is received through sensors and sent to base station. Sending information by each node to station reduces node energy and, accordingly, network lifespan due to distributed nodes and their various intervals. Thus, each node sends its data to neighboring cluster head in order to send the information to base station through that node and more energy is saved. Therefore, clustering and selecting appropriate cluster head is a topic which can be effective on network lifespan. Many different methods were introduced to cluster nodes in these networks with their own advantages and disadvantages. In this article, a new fuzzy logic-based clustering method in WSN increases the network lifespan.
214
222

REFERENCES

References: 

[1] B. Warneke, M. Last, B. Liebowitz, Kristofer and S.J. Pister .2001. Smart Dust:
communicating with a cubic-millimeter computer, Computer Magazine, Vol. 34, No. 1, pp.
44-51, Jan.
MIRZAIE, HAMIDZADEH, SAVADI
222
[2] J.M. Khan, R. H. Katz and K. S. J. Pister. 1999 .Next cen-tuary challenges: mobile networking
for smart dust, In Proceedings of the 5th Annual ACM/IEEE Inter-national Conference on
Mobile Computing and Net-working (MobiCom 99), Aug., pp. 271-278.
[3] V. Hsu, J. M. Kahn, and K. S. J. Pister. 1998. Wireless communications for smart dust,
Electronics Re-search Laboratory Technical Memorandum M98/2,.
[4] G. J. Pottie and W. J. Kaiser. 2000.Wireless integrated networksensors Communications of
the ACM”, Vol. 43, No. 5, pp. 51-58.
[5] Akyildiz Ian F and Kasimoglu Ismail H.2004. Wireless sensor and actor networks: research
challenge Ad hoc networks, vol. 2, p.^pp. 351-367.
[6] M.J. Handy, M. Haase and D. Timmermann. 2002. Low energy adaptive clustering hierarchy
with deterministic cluster-head selection in Proc. 4th International Workshop on Mobile and
Wireless Communications Network, pp. 368 - 372.
[7] Hakan Bagci, Adnan Yazici. 2013. An energy aware fuzzy approach to unequal clustering in
wireless sensor networks Applied Soft Computing 13, pp.1741–1749
[8] Md. Abdul Alim, Yucheng Wu and Wei Wang. 2013. A Fuzzy Based Clustering Protocol for
Energy-efficient Wireless Sensor Networks in Paris. 2nd International Conference on
Computer Science and Electronics Engineering, , pp. 2874 - 2878.
[9] Ashutosh Kumar Singh, Sandeep Goutele, S.Verma and N. Purohit. 2012 .An Energy Efficient
Approach for Clustering in WSN using Fuzzy Logic International Journal of Computer
Applications, pp. 8 - 12.

Thank you for copying data from http://www.arastirmax.com