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Improving energy-efficiency with a green cognitive algorithm to overcome weather's impact in 2.4 GHz wireless networks

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Improving energy-efficiency with a green cognitive algorithm to overcome weather's impact in 2.4 GHz wireless networks

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Bri Molinero, D.; García Pineda, M.; Ramos Pascual, F.; Lloret, J. (2015). Improving energy-efficiency with a green cognitive algorithm to overcome weather's impact in 2.4 GHz wireless networks. Mobile Networks and Applications. 20(5):673-691. doi:10.1007/s11036-015-0602-7

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Title: Improving energy-efficiency with a green cognitive algorithm to overcome weather's impact in 2.4 GHz wireless networks
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Issued date:
Abstract:
The necessity of energy-efficient systems in order to protect our environment, cope with global warming, and facilitate sustainable development is paramount for the researching world because the survival of the planet is ...[+]
Subjects: Energy efficiency , MAC layer , Green cognitive algorithm , Outdoor WLAN , IEEE 802.11 , Weather’s Impact
Copyrigths: Reserva de todos los derechos
Source:
Mobile Networks and Applications. (issn: 1383-469X )
DOI: 10.1007/s11036-015-0602-7
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/s11036-015-0602-7
Thanks:
This work has been supported by the Vice-Rectorate for Research, Innovation and Transfer of the Universitat Politecnica de Valencia through the programme of International Campus of Excellence funded by Ministry of Education ...[+]
Type: Artículo

References

Ad-hoc Advisory Group Report (2008) ICT for energy efficiency. DG-Information Society and Media, European Commission, Brussels

Mills MP (2013) The cloud begins with coal, big data, big networks, big infraestructure and big power. Digital Power Group

Rodrigues J (2013) Green communications and networking. Netw Protocol Algorithm 5(1):37–40 [+]
Ad-hoc Advisory Group Report (2008) ICT for energy efficiency. DG-Information Society and Media, European Commission, Brussels

Mills MP (2013) The cloud begins with coal, big data, big networks, big infraestructure and big power. Digital Power Group

Rodrigues J (2013) Green communications and networking. Netw Protocol Algorithm 5(1):37–40

Serrano P, de la Oliva A, Patras P, Mancuso V, Banchs A (2012) Greening wireless communications: status and future directions. Comput Commun 35:1651–1661

Tsao SL, Huang CH (2011) A survey of energy efficient MAC protocols for IEEE 802.11 WLAN. Comput Commun 34(1):54–67

Lloret J, Sendra S, Coll H, Miguel Garcia M (2009) Saving energy in wireless local area sensor networks. Comput J 53(10):1658–1673

Serrano P, Garcia Saavedra A, Bianchi G, Banchs A, Azcorra A (2014) Per-frame energy consumption in 802.11 devices and its implication on modeling and design. IEEE/ACM Transactions on networking

Sendra S, Lloret J, Garcia M, Toledo JF (2011) Power saving and energy optimization techniques for Wireless Sensor Networks. J Commun 6(6):439–459

IEEE (2012) IEEE Std 802.11™-2012 (Revision of IEEE Std 802.11-2007) part 11: wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications. IEEE Computer Society, New York

Khanna VK, Gupta HM, Maheshwari S (2008) A high throughput and low power ad-hoc wireless LAN protocol. Wirel Netw 14(1):1–16

Bri D, Ramos P, Lloret J, Garcia M (2012) The influence of meteorological variables on the performance of outdoor wireless local area networks. In: IEEE International Conference on Communications. Ottawa, Canada, 2012

Bri D, Garcia M, Lloret J, Misic J (2014) Measuring the weather’s impact on MAC layer over 2.4 GHz outdoor radio links. Measurement 61:221–233

Bri D, Fernandez-Diego M, Garcia M, Ramos F, Lloret J (2012) How the weather impacts on the performance of an outdoor WLAN. IEEE Commun Lett 16(8):1184–1187

Lombardo A, Panarello C, Schembra G (2013) EE-ARQ: a green ARQ-based algorithm for the transmission of video streams on noise wireless channels. Netw Protocol Algorithm 5(1):43–70

Wang L, Manner J (2010) Energy Consumption Analysis of WLAN, 2G and 3G interfaces. In: Proceedings of the 2010 IEEE/ACM Int’l Conference on Green Computing and Communications & Int’l Conference on Cyber, Physical and Social Computing (GREENCOM-CPSCOM ‘10). Washington, DC, USA

Noda C, Prabh S, Alves M, Voigt T (2013) On packet size and error correction optimisations in low-power wireless networks. In: IEEE International Conference on Sensing, Communications and Networking (SECON). New Orleans, USA

Nasaruddin, Andriani M, Melinda, Irhamsyah M (2013) Analysis of energy efficiency for Wi-Fi 802.11b. In: IEEE International Conference on Communication, Networks and Satellite (COMNETSAT), Yogyakarta, Indonesia

Gomez K, Riggio R, Rasheed T, Granelli F (2011) Analysing the energy consumption behaviour of WiFi networks. In: Online Conference onGreen Communications (GreenCom)

Sweedy AM, Semeia AI, Sayed SY, Konber AH (2010) The effect of frame length, fragmentation and RTS/CTS mechanism on IEEE 802.11 MAC performance. In: 10th International Conference on Intelligent Systems Design and Applications (ISDA). Cairo, Egypt, 2010.

Tauber M, Bhatti SN, Yu Y (2011) Application level energy and performance measurements in a wireless LAN. In: IEEE/ACM International Conference on Green Computing and Communications (GreenCom). Chengdu, China

Krishnan M, Haghani E, Zakhor A (2011) Packet length adaptation in WLANs with hidden nodes and time-varying channels. In: Global Telecommunications Conference (GLOBECOM 2011). Houston, Texas, USA

Song W, Krishnan MN, Zakhor A (2009) Adaptive packetization for error-prone transmission over 802.11 WLANs with Hidden Terminals. In: the 11th international workshop on multimedia signal processing (MMSP’09), Rio de Janeiro, Brazil

Naydenov GA, Stoyanov PS (2007) Bit error period determination and optimal frame length prediction for a noisy communication channel. AU J Technol 11(1):7–13

Balaji B, Tamma B, Manoj B (2010) A novel power saving strategy for greening IEEE 802.11 based wireless networks. In: Global Telecommunications Conference (GLOBECOM 2010). Miami, USA

Zhou J, Jacobsson M, Niemegeers I (2010) Link quality-based transmission power adaptation for reduction of energy consumption and interference. EURASIP J Wirel Commun Netw, vol. open access, pp. 1–17

Le B, Rondeau TW, Bostian CW (2007) Cognitive radio realities. Wirel Commun Mob Comput 7(9):1037–1048

T. W. G. f. W. Standards “IEEE 802.11 Wireless Local Area Networks,” [Online]. Available: http://grouper.ieee.org/groups/802/11/. Accessed Aug 2014

Vassis D, Kormentzas G, Rouskas A, Maglogiannis I (2005) The IEEE 802.11 g standard for high data. IEEE Netw 19(3):21–26

Scalia L, Widmer J, Aad I (2010) On the side effects of packet detection sensitivity in IEEE 802.11 interference management. In: IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM), Montreal, Canada

Boano C, Brown J, He Z, Roedig U, Voigt T (2010) Low-power radio communication in industrial outdoor deployments: the impact of weather conditions and ATEX-compliance. Lect Notes Inst Comput Sci Soc Inform Telecommun Eng 29:159–176

Cakaj S (2009) Rain attenuation impact on performance of satellite ground stations for Low Earth Orbiting (LEO) Satellites in Europe. Int J Commun Netw Syst Sci 6:480–485

Luccini M (2013) Joint use of on-board reconfigurable antenna pattern and adaptive coding and modulation in satellite communications at high frequency bands, Ph.D. dissertation. Dept. Electrical and Computer Engineering, University of Western Ontario

Crane RK (2003) Propagation handbook for wireless communication system design. CRC Press

ITU (2013) Recommendation ITU-R P.676-10 attenuation by atmospheric gases. ITU, Geneva, P Series

ITU (2013) Recommendation ITU-R P.840-6 attenuation due to clouds and fog. ITU, Geneva, P Series

ITU (2005) Recommendation ITU-R P.838-3 specific attenuation model for rain for use in prediction methods. ITU, Geneva, P Series

Bri D, Sendra S, Coll H, Lloret J (2010) How the atmospheric variables affect to the WLAN datalink layer parameters. In: The Sixth Advanced International Conference on Telecommunications. Barcelona, Spain

Chok NS (2010) Pearson’s versus Spearman’s and Kendall’s correlation, Thesis. University of Pittsburgh

Sheskin DJ (2003) Handbook of Parametric and Nonparametric Statistical Procedures: Third Edition, CRC Press, 2003

IBM “SPSS Statistical Software,” [Online]. Available: http://www-01.ibm.com/software/es/analytics/spss/ . Accessed Feb 2015

Thomas RW, DaSilva LA, MacKenzie AB (2005) Cognitive networks. In: 1st IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore

Thomas RW, Friend DH, DaSilva LA, MacKenzie AB (2006) Cognitive networks: adaptation and learning to achieve end-to-end performance objectives. IEEE Commun Mag 44(12):51–57

Gür G, Alagöz F (2011) Green wireless communications via cognitive dimension: an overview. IEEE Netw 25(2):50–56

IEEE Std 802.15.2 (2003) Coexistence of wireless personal area networks with other wireless devices operating inunlicensed frequency bands. IEEE

Goldsmith A (2005) Wireless communications. Cambridge University Press, Cambridge

IEEE Std. 802.11a (1999) Supplement to IEEE standard for information technology—telecommunications and information exchange between systems—local and metropolitan area networks—specific requirements. Part 11: wireless LAN Medium Access Control (MAC) and Physical Layer (PHY). IEEE

Toorisaka W, Hasegawa G, Murata M (2012) Power consumption analysis of data transmission in IEEE 802.11 multi-hop networks. de ICNS 2012, The Eighth International Conference on Networking and Services. St. Maarten, Netherlands Antilles

Feeney LM, Nilsson M (2001) Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. de IEEE INFOCOM 2001. Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings, Anchorage, Alaska USA

Texas I CC3000 I.E. 802.11b/g Solution Module. CC3000 I.E. 802.11b/g solution module, [Online]. Available: http://www.ti.com/product/CC3000/technicaldocuments

Fortuna C, Mohorcic M (2009) Trends in the development of communication networks: cognitive networks. Comput Netw 53(9):1354–1376

Riverbed Riverbed Modeler Wireless Suite. [En línea]. Available: http://www.riverbed.com/products/performance-management-control/network-performance-management/network-simulation.html

Patil KP, Barge S, Skouby KE, Prasad R (2014) Spectrum occupancy information in support of adaptive spectrum sensing for cognitive radio. Netw Protocol Algorithm 6(1):76–86

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