Routing packets opportunistically is an essential part of
multihop ad hoc wireless sensor networks. The existing routing
techniques are not adaptive opportunistic. In this paper we have
proposed an adaptive opportunistic routing scheme that routes
packets opportunistically in order to ensure that packet loss is
avoided. Learning and routing are combined in the framework
that explores the optimal routing possibilities. In this paper we
implemented this Reinforced learning framework using a
customer simulator. The experimental results revealed that the
scheme is able to exploit the opportunistic to optimize routing of
packets even though the network structure is unknown.
Published In : IJCSN Journal Volume 2, Issue 5
Date of Publication : 01 October 2013
Pages : 19 - 23
Figures : 07
Tables : 01
Publication Link : ijcsn.org/IJCSN-2013/2-5/IJCSN-2013-2-5-22.pdf
G.Srinivas Rao : received his B Tech in Computer Science and
Engineering from Jawaharlal Nehru Technological University, Hyderabad, A.P, INDIA. in 2010 and pursing M.Tech in GMRIT,
Rajam, A.P, India. His area of interest is Wireless Networks.
A.V. Ramana : obtained the MCA Degree from Andhra University
,Visakhapatnam ,A.P ,India. Obtained M.E degree from Anna
Univeristy . He is presently working as Assistant Professor in GMR
Institute of Technology, Rajam, AP, India. His area of interest is
Mobile Networks and wireless Networks.
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