Consumo de Energia em Função da Taxa de Transmissão e do Tamanho do Pacote em Redes Ad Hoc Aloha de um Salto
Resumo
O aumento da autonomia de um dispositivo de comunicação, aliado à sua forma de operação, está relacionado com seu consumo de energia. Em redes ad hoc e de sensores sem fio deseja-se que o dispositivo possa operar com a melhor eficiência possível e com o mínimo de interferência humana durante seu funcionamento. Neste artigo, um estudo foi realizado sobre a energia gasta para realização da comunicação em um salto E1hop (energia consumida por bit para transmissão com sucesso em um salto) empregando slotted Aloha como protocolo de acesso ao meio a fim de proporcionar, na camada física e de enlace, a otimização da potência de transmissão (Pt) em função do número de bits do pacote (Nb) e da taxa de transmissão de dados (R). Nossos resultados indicam que é possível se obter valores ótimos de Pt em função de Nb e R que resultam em reduzido consumo de energia nestas redes.
Referências
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Zhang, R. and Gorce, J.-M. (Mar. 2008). Optimal transmission range for minimum energy consumption in wireless sensor networks. In Wireless Communications and Networking Conference (WCNC), Las Vegas, USA.
Zuniga, M. and Krishnamachari, B. (Oct. 2004). Analyzing the transitional region in low power wireless links. In First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), Santa Clara, USA.
Akbas, A., Yildiz, H. U., Tavli, B., and Uludag, S. (2016). Joint optimization of transmission power level and packet size for wsn lifetime maximization. IEEE Sensors Journal, 16(12):5084–5094.
Feeney, L. M. and Nilsson, M. (Apr. 2001). Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In Twentieth Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM). Proceedings, volume 3, Anchorage, USA.
Gao, J. (2002). Analysis of energy consumption for ad hoc wireless sensor networks using a bit-meter-per-joule metric. IPN Progress Report, 42(150):1–19.
Goldsmith, A. (2005). Wireless communications. Cambridge university press.
Goratti, L., Yaprak, E., Savazzi, S., and Pomalaza-Raez, C. (2014). An urn occupancy approach for modeling the energy consumption of distributed beaconing. IEEE/ACM Transactions on Networking (TON), 22(1):203–216.
Gorce, J.-M., Zhang, R., and Parvery, H. (2007). Impact of radio link unreliability on the connectivity of wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 2007(1):1–16.
Gupta, A. L. and Shekokar, N. (Mar. 2016). A novel approach to improve network lifetime in wsn by energy efficient packet optimization. In IEEE International Conference on Engineering and Technology (ICETECH), Coimbatore, India.
Ito, A., Kato, T., Hatano, H., Sato, M., Watanabe, Y., Utsunomiya, E., Hiramatsu, Y., and Sato, F. (Oct. 2016). A study on designing ad hoc network protocol using bluetooth low energy. In 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), Wroclaw, Poland.
Karl, H. and Willig, A. (2007). Protocols and architectures for wireless sensor networks. John Wiley & Sons.
Li, N., Lin, K., Yong, S., Chen, X., Wang, X., and Zhang, X. (Nov. 2015). Design and implementation of a mac protocol for a wearable monitoring system on human body. In IEEE 11th International Conference on ASIC (ASICON), Chengdu, China.
Liu, X., Xiong, N., Li, W., and Xie, Y. (2015). An optimization scheme of adaptive dynamic energy consumption based on joint network-channel coding in wireless sensor networks. IEEE Sensors Journal, 15(9):5158–5168.
Mobin, I., Mohammed, N., and Momen, S. (Feb. 2017). Optimal range estimation for energy efficient dynamic packet size. In International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox’s Bazar, Bangladesh.
Rana, K. and Zaveri, M. (2011). A-star algorithm for energy efficient routing in wireless sensor network. Trends in Network and Communications, pages 232–241.
Roberts, L. (1975). Aloha packet system with and without slots and capture. ACM SIGCOMM Computer Commun. Review, 5(2):28–42.
Sadiq, A. S., Almohammad, T. Z., Khadri, R. A. B. M., Ahmed, A. A., and Lloret, J. (May. 2017). An energy-efficient cross-layer approach for cloud wireless green communications. In Second International Conference on Fog and Mobile Edge Computing (FMEC), Valencia, Spain.
Shehab, A., Elhoseny, M., Sahlol, A. T., and El Aziz, M. A. (Mar. 2017). Self-organizing single-hop wireless sensor network using a genetic algorithm: Longer lifetimes and maximal throughputs. In IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), Srivilliputhur, India.
Stankovic, J. A. and He, T. (2012). Energy management in sensor networks. Phil. Trans. R. Soc. A, 370(1958):52–67.
Tang, Y.-J., Lee, C.-W., Lin, M.-H., Liu, B.-H., and Tsai, M.-J. (May. 2017). Energy consumption reduction methods of geographic routing protocols with out-of-date location information in mobile ad hoc networks. In IEEE International Conference on Communications (ICC), Paris, France.
Ye, W., Heidemann, J., and Estrin, D. (Jun. 2002). An energy-efficient mac protocol for wireless sensor networks. In Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM). Proceedings, volume 3, New York, USA.
Zhang, R. and Gorce, J.-M. (Mar. 2008). Optimal transmission range for minimum energy consumption in wireless sensor networks. In Wireless Communications and Networking Conference (WCNC), Las Vegas, USA.
Zuniga, M. and Krishnamachari, B. (Oct. 2004). Analyzing the transitional region in low power wireless links. In First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON), Santa Clara, USA.
Publicado
22/07/2018
Como Citar
DA SILVA, Bruna A.; DE MORAES, Renato M..
Consumo de Energia em Função da Taxa de Transmissão e do Tamanho do Pacote em Redes Ad Hoc Aloha de um Salto. In: WORKSHOP EM DESEMPENHO DE SISTEMAS COMPUTACIONAIS E DE COMUNICAÇÃO (WPERFORMANCE), 17. , 2018, Natal.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2018
.
p. 123-136.
ISSN 2595-6167.
DOI: https://doi.org/10.5753/wperformance.2018.3321.
