DocumentCode
2935294
Title
Notice of Violation of IEEE Publication Principles
An efficient Adaptive multi-hop routing protocol to avoid congestion for Wireless Sensor Networks
Author
Bhuyan, M.G.S. ; Mollah, M.S.H. ; Basher, M.N.
Author_Institution
Dept. of Comput. Sci. & Eng., Nat. Univ., Bangladesh
Volume
1
fYear
2010
fDate
1-2 Aug. 2010
Firstpage
315
Lastpage
318
Abstract
Notice of Violation of IEEE Publication Principles
"An Efficient Adaptive Multi-hop Routing Protocol to Avoid Congestion for Wireless Sensor Networks"
by Md. Golam Sawar Bhuyan, Md. Shirazul Hoque Mollah and Md. Nazmul Basher
in the Proceedings of the Second Pacific Conference on Circuits, Communications and System (PACCS), August 2010, pp. 315-318
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE???s Publication Principles.
This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"A Self-Optimized Multipath Routing Protocol for Wireless Sensor Networks"
by K. Saleem, N.Fisal, S. Hafizah, S. Kamilah, R.A. Rashid
in the International Journal of Recent Trends in Engineering, Vol 2, No 1, November 2009, pp. 93-97
This paper deals with the model of Adaptive multi-hop routing algorithm for Wireless Sensor Network (WSN) and its results are presented. Certain parameters like energy level, delay and velocity are considered. These decisions will come up with the optimal and organized route for WSN. In addition, the stated algorithm is enhanced with the multipath capability to avoid congestion state in WSN. Eventually, the enhanced feature helps WSN in maximizing the data throughput rate and minimizing the data loss. Moreover, multi-hop routing in WSN is affected by new nodes constantly entering or leaving the network. Therefore, the self-optimized and self-aware mechanism is required to handle the problems arise very frequently in WSNs. The ant colony opti- ization has shown excellent results in discovering routes for WSN.
"An Efficient Adaptive Multi-hop Routing Protocol to Avoid Congestion for Wireless Sensor Networks"
by Md. Golam Sawar Bhuyan, Md. Shirazul Hoque Mollah and Md. Nazmul Basher
in the Proceedings of the Second Pacific Conference on Circuits, Communications and System (PACCS), August 2010, pp. 315-318
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE???s Publication Principles.
This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"A Self-Optimized Multipath Routing Protocol for Wireless Sensor Networks"
by K. Saleem, N.Fisal, S. Hafizah, S. Kamilah, R.A. Rashid
in the International Journal of Recent Trends in Engineering, Vol 2, No 1, November 2009, pp. 93-97
This paper deals with the model of Adaptive multi-hop routing algorithm for Wireless Sensor Network (WSN) and its results are presented. Certain parameters like energy level, delay and velocity are considered. These decisions will come up with the optimal and organized route for WSN. In addition, the stated algorithm is enhanced with the multipath capability to avoid congestion state in WSN. Eventually, the enhanced feature helps WSN in maximizing the data throughput rate and minimizing the data loss. Moreover, multi-hop routing in WSN is affected by new nodes constantly entering or leaving the network. Therefore, the self-optimized and self-aware mechanism is required to handle the problems arise very frequently in WSNs. The ant colony opti- ization has shown excellent results in discovering routes for WSN.
Keywords
optimisation; routing protocols; telecommunication congestion control; wireless sensor networks; WSN; adaptive multihop routing protocol; ant colony optimization; congestion; energy level; multipath capability; self-aware mechanism; self-optimized mechanism; stated algorithm; wireless sensor networks; Collaboration; Delay; Throughput; Wireless sensor networks; adaptive routing protocol; ant colony optimization; multipath; wireless sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits,Communications and System (PACCS), 2010 Second Pacific-Asia Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7969-6
Type
conf
DOI
10.1109/PACCS.2010.5626975
Filename
5626975
Link To Document