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  Analysis of Bio-inspired Scalable Routing Protocol for Cognitive Radio Sensor Networks  
  Authors : Amit N. Thakare; Dr. Latesh Bhagat (Malik); Achamma Thomas
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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

Figures :04

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 mining.


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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