Routing in a Wireless Multilayer Physical Network by Balanced Utilization Approach and Minimum Energy Using a Firefly Optimization Algorithm
الموضوعات :
1 - Computer and Electrical Engineering, Garmsar Islamic Azad University, Semnan, Iran
الکلمات المفتاحية: Wireless Sensor Network, Medicine, Body Sensor Network, Meta-heuristic Methods, Glow Worm Algorithm,
ملخص المقالة :
Recent developments in the fields of electronic and digital telecommunications and creating low consumption compact circuits in nano dimensions have provided the ability to create sensors with low consumption power, small size, suitable cost, and various usages in the medical field. In past years, most of the researchers focused on sensor networks of the human body for designing wireless sensor, minimizing and matching them with live fibers of the body, lowering the consumption power, better signal processing, and communicational protocols and their security. Since the importance of sensor networks in the medical field, an entirely different method has been offered in this paper. It is based that we can manage nodes by changing the place of sensors, somehow that if the consumption powers of inside sensors are defined, then the power of all sensors will tend zero in a short period. Several various cost functions were offered based on the designed method, which created the most symmetrical kind of consumption and the lowest consumption in nodes. Then some optimality has been created in the selection of nodes in two modes of main and usual, by firefly ultra-complete algorithm. The offered method is better than the last methods because if the amounts nodes get increased, it will correctly keep its utility. After designing the costs function, the offered network has been implemented with software, and the results haves hown that in all fields, in terms of quality and consumption power form, the offered method has more utilization than other methods in the same terms.
[1] Jian-Liang, G., Yong-Jun, X. and Xiao-Wei. L. 2007. Weighted-median based Distributed Fault Detection for Wireless Sensor Networks. Journal of Software. 18(5): 1208-1217.
[2] Moustapha, A. and Selmic, R. 2008. Wireless Sensor Network Modeling Using Modified Recurrent Neural Networks: Application to Fault Detection. IEEE International Conference on Networking, Sensing and Control. 57(5): 981-988.
[3] Liang, L., Yu, G., Gang, F., Wei, N. and Aung Aung, P. W. 2014. A Low Overhead Tree-based Energy-efficient Routing Scheme for Multi-hop Wireless Body Area Networks. Computer Networks. 70: 45-58.
[4] Lee, D., Lee, W. and Kim, J. 2007.Genetic Algorithmic Topology Control for Two-Tiered Wireless Sensor Networks. International Conference on Computational Science. 3: 385-392.
[5] Rezaei, F., Hempel, M. and Sharif, H. 2015. A Survey of Recent Trends in Wireless Communication Standards, Routing Protocols, and Energy Harvesting Techniques in E-Health Applications. International Journal of E-Health and Medical Communications. 6(1): 1-21.
[6] Djenouri, D. and Balasingham, I. 2009. New QoS and Geographical Routing in Wireless Biomedical Sensor Networks. In Proceedings of the Sixth International Conference on Broadband Communications, Madrid, Spain. 1: 1-8.
[7] Hsu, W. C., Kuo, C. W., Chang, W. W., Changb, J. J., Hou, Y. T., Lan, Y. C., Sung, T. J. and Yang, Y. J. 2010. A WSN Smart Medication System. Procedia Engineering. 5: 588-591.
[8] Liang, X. and Balasingham, I. 2007. A QoS-aware Routing Service Framework for Biomedical Sensor Networks. In Proceedings of the IEEE International Symposium on Wireless Communication Systems. 342-345.
[9] Elhadj, H. B., Chaari, L. and Kamoun, L. 2012. A Survey of Routing Protocols in Wireless Body Area Networks for Healthcare Applications. International Journal of E-Health and Medical Communications. 3(2): 1-18.
[10] Oey, C.H.W. and Moh, S. 2013. A Survey on Temperature-aware Routing Protocols in Wireless Body Sensor Networks. Sensors. 13: 9860-9877.
[11] Gao, T., Greenspan, D., Welsh, M., Juang, R. and Alm, A. 2006. Vital Signs Monitoring and Patient Tracking Over a Wireless Network. In Proceedings of IEEE-EMBS 27th Annual International Conference of the Engineering in Medicine and Biology Society. 17–18: 102-105.
[12] Javed Iqbal Bangash, J. I., Abdullah, A. H., Anisi, M. H. and Khan, A. W. 2014. A Survey of Routing Protocols in Wireless BodySensor Networks. 14: 1322-1357.
[13] Khan, Z., Sivakumar, S., Phillips, W. and Robertson, B. 2012. Aware Peering Routing Protocol for Delay Sensitive Data in Hospital Body Area Network Communication. In Proceedings of 7th International IEEE Conference on Broadband, Wireless Computing. Communication and Applications (BWCCA). 12–14: 178-185.
[14] Zahoor, A. Kh. , Sivakumar, Sh., Phillips, W. and Aslam, N. 2014. A New Patient Monitoring Framework and Energy-aware Peering Routing Protocol (EPR) for Body Area Network communication. Journal of Ambient Intelligence and Humanized Computing. 5(3): 409-423.
[15] Mohsin, A. H., Abu Bakar, K., Adekiigbe, A. and Ghafoor, K. Z. 2012. A Survey of Energy-Aware Routing and MAC Layer Protocols in MANETS: Trends and Challenges. 4(2): 82-107.
[16] Chen, B., Jamieson, K., Balakrishnan, H. and Morris, R. 2002. An Energy Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks. ACM Wireless Networks. 8(5): 481-464.
[17] Schurgers, C., Tsiatsis, V., Ganeriwal, S. and Srivastava, M. B. 2002. Optimizing Sensor Networks in the Energy-latency-density Design Space. IEEE Transactions on Mobile Computing. 1(1): 70-80.
[18] Elias, J. and Mehaoua, A. 2012. Energy-aware Topology Design for Wireless Body Area Networks. IEEE International Conference on Communications (ICC). Ottawa, Canada.
[19] Khan, Z., Sivakumar, S., Phillips, W. and Aslam, N. 2014. A New Patient Monitoring Framework and Energy-aware Peering Routing Protocol (EPR) for Body Area Network Communication. Journal of Ambient Intelligence and Humanized Computing. 5(3): 409-423.
[20] Yu, Ge., Gang, F., Wei, N. and Aung, W. 2014. A Low Overhead Tree-based Energy-Efficient Routing Scheme for Multi-hop Wireless Body Area Networks. Computer Networks: The International Journal of Computer and Telecommunications Networking archive. 7099): 45-58.
[21] Elias, J. 2014. Optimal Design of Energy-efficient and Cost-effective Wireless Body Area Networks. Ad Hoc Networks. 13(B): 560-574.
[22] Nadeem, Q., Javaid, N., Mohammad, S., Khan, M. Y., Sarfraz, S. and Gull, M. 2013. Stable Increased-throughput Multi-hop Protocol for Link Efficiency in Wireless Body Area Networks. Eighth International Conference on Broadband and Wireless Computing. Communication and Applications Compiegne. Compiegne. France.
Beno
ˆ
ıt Latr
´
e
∗
, Bart Braem
†
, Ingrid Moerman
∗
, Chris Blondia
†
, Elisabeth Reusens
‡
, Wout Joseph
‡
, Piet Demeester
[23] Latre, B., Braem, B., Moerman, I. Blondia, Ch. Reusens, E., Joseph, W. and Demeester, P. 2007. A Low-delay Protocol for Multihop Wireless Body Area Networks. Mobile and Ubiquitous Systems: Networking and Services. MobiQuitous. Fourth Annual International Conference on. IEEE.
[24] Elhadj, H. B., Elias, J., Chaari, L. and Kamoun, L. 2016. A Priority based Cross Layer Routing Protocol for Health Care Applications. Ad Hoc Networks. 42: 1-18.
[25] Nguyen, T. T., Quynh, N. V. and Van Dai, L. 2018. Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units. Complexity. 12: 1-23.