DocumentCode
146934
Title
Probabilistic method for energy efficiency routing with node compromised resistance
Author
Singh, D. ; Sharma, Shantanu ; Jain, Vinesh ; Gajrani, Jyoti
Author_Institution
CS & IT Dept., Gov. Eng. Coll., Ajmer, India
fYear
2014
fDate
3-5 April 2014
Firstpage
783
Lastpage
787
Abstract
A wireless sensor network is basically a data communication system that consists of from several to thousands of tiny wireless sensor nodes. These battery powered sensor nodes work with each other to accomplish data transmission. Since the lifetime of wireless sensor network depends on such battery powered sensor nodes, hop counts and battery power have been taken as metrics in routing protocols. In wireless sensor network, energy efficiency is most critical issue that should be considered while transmitting information or data packet from source node to sink node. Some techniques can be used by attacker communities through getting the knowledge about efficiency and trust relationship among the nodes and then insert some unwanted packets in the path from source to sink. DRP, MTRP and EENC are some techniques that can be used to provide energy efficient transmission of data packets. EENC is energy efficiency routing with node compromised resistance. This technique is based on the ant colony optimization technique. Three parameters in this technique, energy, trust and hop count are considered here to find out the compromised node among the nodes and remove the path from source to sink containing that node.
Keywords
energy conservation; optimisation; probability; routing protocols; telecommunication power management; wireless sensor networks; DRP; EENC; MTRP; ant colony optimization technique; battery powered sensor nodes; data communication system; data packets; data transmission; energy efficiency routing; energy efficient transmission; probabilistic method; routing protocols; sink node; source node; wireless sensor network; wireless sensor nodes; Base stations; Protocols; Skin; Ant Structure; DRP; EENC; MTRP;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location
Melmaruvathur
Print_ISBN
978-1-4799-3357-0
Type
conf
DOI
10.1109/ICCSP.2014.6949950
Filename
6949950
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