The Basic Problem We Have Studied Cognitive Radio Our Result Spectrum Sensing System of Cognitive Radio Network for Disaster Management & Emergency Services Kundan Kumar 1 Divyang Ashwinbhai Patel 1 Tushar Sharma 1 Ritika Dhingra 2 1 Department of Electronics and Communication Engineering Jaypee University of Information technology, Waknghat, Solan-173234, India 2 Department of Computer Science and Engineering & Information Technology Jaypee University of Information technology, Waknghat, Solan-173234, India 44 th Engineer Day , 2011 Kundan, Divyang, Tushar, Ritika Cognitive Radio
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The Basic Problem We Have StudiedCognitive Radio
Our Result
Spectrum Sensing System of Cognitive Radio Networkfor Disaster Management & Emergency Services
Kundan Kumar1 Divyang Ashwinbhai Patel1
Tushar Sharma1 Ritika Dhingra2
1Department of Electronics and Communication EngineeringJaypee University of Information technology, Waknghat, Solan-173234, India
2Department of Computer Science and Engineering & Information TechnologyJaypee University of Information technology, Waknghat, Solan-173234, India
44th Engineer Day , 2011
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
Outline
1 The Basic Problem We Have StudiedAbstractIntroduction
1 Bharat Ratna Sri MokshagundamVisweswaraya was a notable Indianengineer, scholar, and statesman
2 He was responsible for successfuldesign and construction of severalriver dams, bridges and implementingirrigation and drinking water schemesall over India
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
AbstractIntroduction
15th September, Engineer Day
1 Bharat Ratna Sri MokshagundamVisweswaraya was a notable Indianengineer, scholar, and statesman
2 He was responsible for successfuldesign and construction of severalriver dams, bridges and implementingirrigation and drinking water schemesall over India
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
AbstractIntroduction
Outline
1 The Basic Problem We Have StudiedAbstractIntroduction
In this paper, we have discussed the role of spectrum sensing systemof the cognitive radio network for the disaster management and emergencyservices. During the disaster, the failure of public networks and heavy loadon the available spectrum by different rescue and emergency services, byusing their own communication infrastructure may land-up in interference orcomplete crash of emergency communication setup.
The spectrum sensing for cognitive radio network offers the sensing ofvarious unused spectrum which is utilizable by the organisation withoutinterfering to others. Cognitive engine is capable of configuring the radioparameters to the required standards used by the various authorities duringthe disaster. It helps setting up reliable, smart and intelligent communicationinfrastructure during disaster.
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
AbstractIntroduction
Outline
1 The Basic Problem We Have StudiedAbstractIntroduction
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Our Proposal
We propose the following proposition . . .1 Radios can be used intelligently2 Opitmum utilization of Spectrum in diaster3 Methods adopted for optimum utilization
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Our Proposal
We propose the following proposition . . .1 Radios can be used intelligently2 Opitmum utilization of Spectrum in diaster3 Methods adopted for optimum utilization
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Our Proposal
We propose the following proposition . . .1 Radios can be used intelligently2 Opitmum utilization of Spectrum in diaster3 Methods adopted for optimum utilization
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Scope of Cognitive Radio
CR is an enabling technology for numerous new capabilities . . .1 Dynamic spectrum access2 Spectrum markets3 Self-Organizing networks
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Scope of Cognitive Radio
CR is an enabling technology for numerous new capabilities . . .1 Dynamic spectrum access2 Spectrum markets3 Self-Organizing networks
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Scope of Cognitive Radio
CR is an enabling technology for numerous new capabilities . . .1 Dynamic spectrum access2 Spectrum markets3 Self-Organizing networks
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Outline
1 The Basic Problem We Have StudiedAbstractIntroduction
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Sensing
1 DSA uses under-utilized areas ofthe frequency spectrum withoutinterfering with primary users.
2 Cognitive radios are required tofind each other first, calledrandezvous process
3 In Hostile environments, it is evenmore imperative that thisrendezvous process can beachieved quickly.
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Sensing
1 DSA uses under-utilized areas ofthe frequency spectrum withoutinterfering with primary users.
2 Cognitive radios are required tofind each other first, calledrandezvous process
3 In Hostile environments, it is evenmore imperative that thisrendezvous process can beachieved quickly.
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Sensing
1 DSA uses under-utilized areas ofthe frequency spectrum withoutinterfering with primary users.
2 Cognitive radios are required tofind each other first, calledrandezvous process
3 In Hostile environments, it is evenmore imperative that thisrendezvous process can beachieved quickly.
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Random Randezvous
Algorithm of Random Randezvous . . .1 Observe mi , the number of channels available to radio i2 while not rendezvous do3 ji = rand[0, mi )4 c = ci,ji5 attempt rendezvous on channel c6 end while
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Random Randezvous
Algorithm of Random Randezvous . . .1 Observe mi , the number of channels available to radio i2 while not rendezvous do3 ji = rand[0, mi )4 c = ci,ji5 attempt rendezvous on channel c6 end while
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Random Randezvous
Algorithm of Random Randezvous . . .1 Observe mi , the number of channels available to radio i2 while not rendezvous do3 ji = rand[0, mi )4 c = ci,ji5 attempt rendezvous on channel c6 end while
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Random Randezvous
Algorithm of Random Randezvous . . .1 Observe mi , the number of channels available to radio i2 while not rendezvous do3 ji = rand[0, mi )4 c = ci,ji5 attempt rendezvous on channel c6 end while
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Random Randezvous
Algorithm of Random Randezvous . . .1 Observe mi , the number of channels available to radio i2 while not rendezvous do3 ji = rand[0, mi )4 c = ci,ji5 attempt rendezvous on channel c6 end while
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Random Randezvous
Algorithm of Random Randezvous . . .1 Observe mi , the number of channels available to radio i2 while not rendezvous do3 ji = rand[0, mi )4 c = ci,ji5 attempt rendezvous on channel c6 end while
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Random Randezvous
Algorithm of Random Randezvous . . .1 Observe mi , the number of channels available to radio i2 while not rendezvous do3 ji = rand[0, mi )4 c = ci,ji5 attempt rendezvous on channel c6 end while
Kundan, Divyang, Tushar, Ritika Cognitive Radio
The Basic Problem We Have StudiedCognitive Radio
Our Result
About Cognitive RadioOur ProposalSensingSharingCognitive Engine
Outline
1 The Basic Problem We Have StudiedAbstractIntroduction
We like to thank Dr. Ghanshyam Singh for his extraordinary guidancethroughout our presentation.
We also wish to thank Mr. Viranjay M. Srivastava for his support and help.
Finally, we are also grateful to Mr. Salman Raju Talluri for investing hisvaluable time in helping us .
Kundan, Divyang, Tushar, Ritika Cognitive Radio
Appendix Refrences
Refrences I
1 S. Haykin, Cognitive radio: brain-empowered wireless communications,IEEE Journal Selected Areas in Communications, vol. 23, no. 2, pp. 201- 220, 2005.
2 J. O. Neel, J. H. Reed, and R. P. Gilles, Convergence of cognitive radionetworks, IEEE Proc. WCNC, 2004, pp. 2250 - 2255.
3 Personal Communications: Special issue on Software Radios, Aug. 99,Vol. 6, No. 4.
4 D. E. Goldberg, Genetic Algorithms in Search, Optimization, andMachine Learning, Reading, MA : Addison-Wesley, 1989.
5 Applications of Machine Applications of Machine Learning CognitiveRadio Networks by Charles Clancy, Department of Defence Joe Hecker,SAIC Erich Stuntebeck, Georgia Tech Tim Shea, NC State
6 Game theory for cognitive radio networks by Beibei Wang, Yongle Wu,K.J. Ray Liu