Disaster management

1. The Basic Problem We Have Studied Cognitive Radio Our Result Spectrum Sensing System of Cognitive Radio Network for Disaster Management & Emergency Services Kundan Kumar1 Divyang Ashwinbhai Patel1 Tushar Sharma1 Ritika Dhingra2 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 44th Engineer Day , 2011 Kundan, Divyang, Tushar, Ritika Cognitive Radio

2. The Basic Problem We Have Studied Cognitive Radio Our Result Outline 1 The Basic Problem We Have Studied Abstract Introduction 2 Cognitive Radio About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine 3 Our Result Conclusion Acknowledgement Kundan, Divyang, Tushar, Ritika Cognitive Radio

3. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction 15th September, Engineer Day 1 Bharat Ratna Sri Mokshagundam Visweswaraya was a notable Indian engineer, scholar, and statesman 2 He was responsible for successful design and construction of several river dams, bridges and implementing irrigation and drinking water schemes all over India Kundan, Divyang, Tushar, Ritika Cognitive Radio

4. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction 15th September, Engineer Day 1 Bharat Ratna Sri Mokshagundam Visweswaraya was a notable Indian engineer, scholar, and statesman 2 He was responsible for successful design and construction of several river dams, bridges and implementing irrigation and drinking water schemes all over India Kundan, Divyang, Tushar, Ritika Cognitive Radio

5. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction Outline 1 The Basic Problem We Have Studied Abstract Introduction 2 Cognitive Radio About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine 3 Our Result Conclusion Acknowledgement Kundan, Divyang, Tushar, Ritika Cognitive Radio

6. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction Abstract In this paper, we have discussed the role of spectrum sensing system of the cognitive radio network for the disaster management and emergency services. During the disaster, the failure of public networks and heavy load on the available spectrum by different rescue and emergency services, by using their own communication infrastructure may land-up in interference or complete crash of emergency communication setup. The spectrum sensing for cognitive radio network offers the sensing of various unused spectrum which is utilizable by the organisation without interfering to others. Cognitive engine is capable of conﬁguring the radio parameters to the required standards used by the various authorities during the disaster. It helps setting up reliable, smart and intelligent communication infrastructure during disaster. Kundan, Divyang, Tushar, Ritika Cognitive Radio

7. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction Outline 1 The Basic Problem We Have Studied Abstract Introduction 2 Cognitive Radio About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine 3 Our Result Conclusion Acknowledgement Kundan, Divyang, Tushar, Ritika Cognitive Radio

8. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction Introduction 1 Radios be able to operate in hostile or disaster environments. 2 Strain on the available spectrum, efﬁciency important 3 Cognitive Radio is a novel approach to solve radio spectrum scarcity Kundan, Divyang, Tushar, Ritika Cognitive Radio

11. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction Spectrum Allocation Unallocated Spectrum 3-9 KHz ISM Bands 6.78 ± 0.015 MHz 13.560 ± 0.007 MHz 27.12 ± 0.163 MHz 40.68 ± 0.02 MHz 815 ± 13 MHz 2450 ± 50 MHz 5.8 ± 0.075 GHz 24.125 ± 0.125 GHz 61.25 ± 0.250 GHz 122.5 ± 0.500 GHz 245 ± 1 GHz Unlicensed 1910-1930 PCS 59-64 GHz unlicensed Kundan, Divyang, Tushar, Ritika Cognitive Radio

12. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction Spectrum Utilization 1 However, spectrum utilization is quite low. 2 Concept Have radios (or networks) identify spectrum opportunities at run-time Transparently (to legacy systems) ﬁll in the gaps (time, frequency, space) 3 Considered Bands ISM Public Safety TV (UHF) Kundan, Divyang, Tushar, Ritika Cognitive Radio

18. The Basic Problem We Have Studied Cognitive Radio Our Result Abstract Introduction Spectrum Uses Kundan, Divyang, Tushar, Ritika Cognitive Radio

19. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Outline 1 The Basic Problem We Have Studied Abstract Introduction 2 Cognitive Radio About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine 3 Our Result Conclusion Acknowledgement Kundan, Divyang, Tushar, Ritika Cognitive Radio

20. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Cognitive Radio 1 Cognitive implies awareness, perception, reasoning, and judgment. 2 Radio that can change its transmitter parameters according to the interactions with the environment in which it operates. Kundan, Divyang, Tushar, Ritika Cognitive Radio

21. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Cognitive Radio 1 Cognitive implies awareness, perception, reasoning, and judgment. 2 Radio that can change its transmitter parameters according to the interactions with the environment in which it operates. Kundan, Divyang, Tushar, Ritika Cognitive Radio

23. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Our Proposal We propose the following proposition . . . 1 Radios can be used intelligently 2 Opitmum utilization of Spectrum in diaster 3 Methods adopted for optimum utilization Kundan, Divyang, Tushar, Ritika Cognitive Radio

26. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Scope of Cognitive Radio CR is an enabling technology for numerous new capabilities . . . 1 Dynamic spectrum access 2 Spectrum markets 3 Self-Organizing networks Kundan, Divyang, Tushar, Ritika Cognitive Radio

30. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Sensing 1 DSA uses under-utilized areas of the frequency spectrum without interfering with primary users. 2 Cognitive radios are required to ﬁnd each other ﬁrst, called randezvous process 3 In Hostile environments, it is even more imperative that this rendezvous process can be achieved quickly. Kundan, Divyang, Tushar, Ritika Cognitive Radio

33. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Random Randezvous Algorithm of Random Randezvous . . . 1 Observe mi , the number of channels available to radio i 2 while not rendezvous do 3 ji = rand[0, mi ) 4 c = ci,ji 5 attempt rendezvous on channel c 6 end while Kundan, Divyang, Tushar, Ritika Cognitive Radio

41. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Sharing 1 Game theory has applications in spectrum sharing 2 Nash Equilibrium for non co-opearative game theory 3 Opportunistic spectrum access Kundan, Divyang, Tushar, Ritika Cognitive Radio

45. The Basic Problem We Have Studied Cognitive Radio Our Result About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine Cognitive Engine 1 CR is built upon platform called SDR. 2 Genetic Algorithm is used for realising cognitive radio Evaluating behaviour Analysis Engine Machine Learning Kundan, Divyang, Tushar, Ritika Cognitive Radio

50. The Basic Problem We Have Studied Cognitive Radio Our Result Conclusion Acknowledgement Outline 1 The Basic Problem We Have Studied Abstract Introduction 2 Cognitive Radio About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine 3 Our Result Conclusion Acknowledgement Kundan, Divyang, Tushar, Ritika Cognitive Radio

51. The Basic Problem We Have Studied Cognitive Radio Our Result Conclusion Acknowledgement Conclusion 1 During disaster, most of the networks crashes which require the need to access spectrum 2 Most of the networks are licensed but unutilize & can be used during emergency 3 Estimate of collateral damage to the network by disaster Kundan, Divyang, Tushar, Ritika Cognitive Radio

54. The Basic Problem We Have Studied Cognitive Radio Our Result Conclusion Acknowledgement Outline 1 The Basic Problem We Have Studied Abstract Introduction 2 Cognitive Radio About Cognitive Radio Our Proposal Sensing Sharing Cognitive Engine 3 Our Result Conclusion Acknowledgement Kundan, Divyang, Tushar, Ritika Cognitive Radio

55. The Basic Problem We Have Studied Cognitive Radio Our Result Conclusion Acknowledgement Acknowledgement We like to thank Dr. Ghanshyam Singh for his extraordinary guidance throughout 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 his valuable time in helping us . Kundan, Divyang, Tushar, Ritika Cognitive Radio

56. 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 radio networks, 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, and Machine Learning, Reading, MA : Addison-Wesley, 1989. 5 Applications of Machine Applications of Machine Learning Cognitive Radio 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 Kundan, Divyang, Tushar, Ritika Cognitive Radio

57. Appendix Refrences Thank You This slide was prepared using LATEXmarkup language We would now acknowledge queries from the audience Kundan, Divyang, Tushar, Ritika Cognitive Radio

Disaster management

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