Abstract
The use of wireless devices is increasing day by day. Most wireless devices are based on tiny sensors that gather information from their contiguous environment automatically without interacting with humans. The working of these tiny sensors basically depends upon batteries. In wireless devices, batteries play an essential role. Thus, there is a need to investigate the performance of batteries on the basis of various realistic parameters that directly or indirectly affect performance and evaluate the total lifetime of batteries. Wireless sensor networks (WSNs) are deployed in disaster areas such as military/battlefields, environmental monitoring, and intelligent building systems. They contain an extensive number of nodes that need to work normally for months to years to complete their assigned tasks. WSNs require considerable power for self-management. Due to the small size of sensor nodes, the power supply devoted to sensor nodes must be very restricted in size. Therefore, the power supply becomes a difficult issue in WSNs. Battery life is predicted under different duty cycle like low duty cycle, commissioning and packet streaming. In low duty cycle battery load is minimum due to the few number of tasks. In Commissioning mode battery perform average number of task and in packet streaming battery load is maximum due to large number of tasks. The end of this chapter presents a critical discussion of the issues.
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References
Hong, S., Kim, D., & Kim, J.-E. (2005). Battery aware real time task scheduling in wireless sensor networks. In 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2005. Proceedings. Piscataway: IEEE.
Pantazis, N. A., & Vergados, D. D. (2007). A survey on power control issues in wireless sensor networks. IEEE Communications Surveys and Tutorials, 9(1–4), 86–107.
Mahlous, A. R., & Tounsi, M. (2016). Operation research based techniques in wireless sensors networks. Communications and Network, 9(1), 54.
Khan, F., ur Rehman, A., Usman, M., Tan, Z., & Puthal, D. (2018). Performance of cognitive radio sensor networks using hybrid automatic repeat ReQuest: Stop-and-wait. Mobile Networks and Applications, 23(3), 479–488.
Aakvaag, N., Mathiesen, M., & Thonet, G. (2005). Timing and power issues in wireless sensor networks-an industrial test case. In International Conference Workshops on Parallel Processing, 2005. ICPP 2005 Workshops. Piscataway: IEEE.
Barnes, M., Conway, C., Mathews, J., & Arvind, D. K. (2010). ENS: An energy harvesting wireless sensor network platform. In 2010 Fifth International Conference on Systems and Networks Communications (pp. 83–87). IEEE.
Roundy, S., Steingart, D., Frechette, L., Wright, P., & Rabaey, J. (2004). Power sources for wireless sensor networks. In European Workshop on Wireless Sensor Networks (pp. 1–17). Berlin: Springer.
Khan, F. (2014). Secure communication and routing architecture in wireless sensor networks. In 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE) (pp. 647–650). Piscataway: IEEE.
Gupta, S., & Roy, K. (2013). Comparison of different energy minimization techniques in wireless sensor network. International Journal of Computer Applications, 75(18).
Khattak, M. I., Edwards, R. M., Shafi, M., Ahmed, S., Shaikh, R., & Khan, F. (2018). Wet environmental conditions affecting narrow band on-body communication channel for WBANs. Ad-Hoc and Sensor Wireless Networks, 40, 297–312.
Silva, A., Liu, M., & Moghaddam, M. (2012). Power-management techniques for wireless sensor networks and similar low-power communication devices based on nonrechargeable batteries. Journal of Computer Networks and Communications, 23(3), 456–468.
Park, C., Lahiri, K., & Raghunathan, A. (2005). Battery discharge characteristics of wireless sensor nodes: An experimental analysis. Power, 20, 21.
Guo, W., Healy, W. M., & Zhou, M. C. (2012). Battery discharge characteristics of wireless sensors in building applications. In 2012 9th IEEE International Conference on Networking, Sensing, and Control (ICNSC). Piscataway: IEEE.
Jan, M. A., Khan, F., Alam, M., & Usman, M. (2017). A payload-based mutual authentication scheme for Internet of Things. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.08.035
Wenqi, G., & Healy, W. M. (2014). Power supply issues in battery reliant wireless sensor networks: A review. International Journal of Intelligent Control and Systems, 19(1), 15–23.
Shaikh, F. K., & Zeadally, S. (2016). Energy harvesting in wireless sensor networks: A comprehensive review. Renewable and Sustainable Energy Reviews, 55, 1041–1054.
Jan, M. A., Jan, S. R. U., Alam, M., Akhunzada, A., & Rahman, I. U. (2018). A comprehensive analysis of congestion control protocols in wireless sensor networks. Mobile Networks and Applications 23(3), 456–468.
Lattanzi, E., Freschi, V., Dromedari, M., Lorello, L. S., Peruzzini, R., & Bogliolo, A. (2017). A fast and accurate energy source emulator for wireless sensor networks. EURASIP Journal on Embedded Systems, 2016(1), 18.
Mahapatra, C., Sheng, Z., Kamalinejad, P., Leung, V. C. M., & Mirabbasi, S. (2017). Optimal power control in green wireless sensor networks with wireless energy harvesting, wake-up radio and transmission control. IEEE Access, 5, 501–518.
Deshmukh, R., Deshmukh, R., & Khokale, R. S. (2017). Techniques to improve network lifetime of wireless sensor networks-a survey. International Journal of Advanced Research in Computer Science, 8(3).
Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2013). Enhancing lifetime and quality of data in cluster-based hierarchical routing protocol for wireless sensor network. In 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquseitous Computing (HPCC_EUC) (pp. 1400–1407). Piscataway: IEEE.
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Yasin, S., Ali, T., Draz, U., Shaf, A., Ayaz, M. (2019). A Parametric Performance Evaluation of Batteries in Wireless Sensor Networks. In: Jan, M., Khan, F., Alam, M. (eds) Recent Trends and Advances in Wireless and IoT-enabled Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-99966-1_17
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