Wireless sensor network (WSN) is an autonomous system of number of sensor nodes deployed in the region and connected
by the wireless links. The sensor nodes are battery powered node with some limited energy to utilize in network for various applications.
The nodes are changing the position frequently and forward the packets from source to the destination. The routing is the main issue in
wireless sensor networks. Thus there is need of designing the routing protocol for WSN. The next generation of wireless sensor network
is the improvement in the hybridization techniques. The MAC and network layer is to be improved for the next generation wireless
technology. The new idea behind the routing techniques is by sending the packets whenever the communication required with available
spectrum holes. The next generation WSN is the CRSN (Cognitive radio sensor network) with cognitive capabilities. It is a possibly new
routing philosophy that provides a scalable so lution to relatively large network in CRSN. An inspired from swarm colony optimization
as artificial intelligence techniques likely to be ACO (Ant colony optimization) method used to find the shortest route with reliable
routing in CRSN. In this paper an attempt has been made to compare the performance of routing methods for CRSN using biologically
inspired methods. As per finding the differences in the protocol provides better solution for routing techniques with high density network.
The performance differentials are analyzed using varying number of packets and pause time. The simulation is carried out using ns2
simulation tool. The results illustrate the importance of implementing the routing protocols in CRSN environment for large network.
Published In:IJCSN Journal Volume 6, Issue 6
Date of Publication : December 2017
Pages : 661-669
Tables : 03
Amit N. Thakare : He is pursuing the PhD.(Computer Science &
Engineering)from G. H. Raisoni College of Engineering, Nagpur,
M.Tech (Computer Science & Engineering)in 2008 from MGMs
College of Engineering,Shree Ramanand Teerth Marathwada
University, Nanded, B.E.(Computer Technology) in 2002, from
Manoharbhai Patel Institute of Engineering & Technology,
Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur
(Maharashtra), India, He is life member of ISTE, Member of CSI
and IEI,Paper presented and Published more than 15 papers.
Dr. Latesh G. Bhagat(Malik) : She has completed Ph.D.
(Computer Science & Engineering) from Visveyaraya National
Institute of Technology in 2010, M.Tech. (Computer Science &
Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E.
(Computer Engineering) from University of Rajasthan, India . She
is gold medalist in B.E. and M.Tech. She is currently working as
Associate Professor & Head of Department in Department of
Computer Science & Engineering at Government College of
Engineering, Nagpur, MS, India. She has teaching experience of
19 years. Mrs. Latesh Bhagat (Malik) is life member of ISTE, CSI,
ACM and presented 46 papers in international journal and 57
papers in international conference. She is recipient of 2 RPS and 1
MODROBs by AICTE. She guided 31 PG projects and 8 Ph.D.
students are registered under RTM Nagpur University.
Achamma Thomas : received M.Tech(Computer Science &
Engineeirng) in 2013. She is currently the Head of Computer
Science Department at G.H.Raisoni College of Engineering,
Nagpur. She has completed M.Phil(Computer Science) in the year
2011.Her area of specialization is soft Computing and Data
Routing; scalability; ant colony optimization; cognitive radio sensor network; performance analysis
In this paper the objective is to improve the scalability
issue. To improve the scalability we consider the 25 to 100 sensor nodes for our experiment as node density. As
observed that the increasing number of nodes may cause
the reducing the performance of individual nodes in the
network. The cognitive radio sensor networks which are
the increasing network for the next generation wireless
network also perform better in packet delivery ratio,
throughput, and end2end delay with proper energy
consumption of individual nodes, as per total energy by
above equation. Here we consider the two routing protocol
AODV and DSR with cognitive capabilities as AODV
(cogns) and DSR (cogns) and observed that the
DSR(cogns) perform better as compare to AODV(cogns)
in parameter such as Throughput. They solve the complex
NP-hard combinatorial optimization problem based on
different application. The hands-off techniques from
primary user to secondary user with available spectrum
holes in the network occupied the secondary user for some
duration of time and changing the route from primary user
to secondary with efficiently. It solves and optimized
different issues and challenges, which is the need of today
era and solves the telecommunication problems.
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