An Application-Oriented Network Model for Wireless Sensor Networks
- 1
- 2
- 3
Abstract
Wireless sensor networks (WSNs) are energy-constrained networks. The residual energy real-time monitoring (RERM) is very important for WSNs. Moreover, network model is an important foundation of RERM research at personal area network (PAN) level. Because RERM is inherently application-oriented, the network model adopted should also be application-oriented. However, many factors of WSNs applications such as link selected probability and ACK mechanism etc. were neglected by current network models. These factors can introduce obvious influence on throughput of WSNs. Then the energy consumption of nodes will be influenced greatly. So these models cannot characterize many real properties of WSNs, and the result of RERM is not consistent with the real-world situation. In this study, these factors neglected by other researchers are taken into account. Furthermore, an application-oriented general network model (AGNM) for RERM is proposed. Based on the AGNM, the dynamic characteristics of WSNs are simulated. The experimental results show that AGNM can approximately characterize the real situation of WSNs. Therefore, the AGNM provides a good foundation for RERM research.
- A. Mainwaring and D. Culler, “Wireless Sensor Networks for Habitat Monitoring,” Proceedings of 1st ACM Inter- national Workshop on Wireless Sensor Networks and Applications, Atlanta, 2002, pp. 88-97.
- J. Paek and K. Chintalapudi, “Wireless Sensor Network for Structural Health Monitoring: Performance and Expe- rience,” Proceedings of 2nd IEEE Workshop on Embedded Networked Sensors, Sydney, 2005, pp. 1-10.
- A. Boukerche and H. A. B. Oliveira, “Localization Systems for Wireless Sensor Networks,” IEEE Wireless Communi- cations, Vol. 14, No. 6, 2007, pp. 6-12.
- H. Edgar and J. Callaway, “Wireless Sensor Networks Architectures and Protocols,” Auerbach Press, London, 2003.
- M. Z. Zamalloa and B. Krishnamachari, “An Analysis of Unreliability and Asymmetry in Low-Power Wireless Links,” ACM Transactions on Sensor Network, Vol. 3, No. 2, 2007, p. 7.
- X. L. Cheng, Z. D. Deng and Z. R. Dong, “A Model of Energy Consumption Based on Characteristic Analysis of Wireless Communication and Computation,” Journal of Computer Research and Development, Vol. 46, No. 12, 2009, pp. 1985-1993.
- Y. J. Zhao and R. Govindan, “Residual Energy Scans for Monitoring Wireless Sensor Networks,” Proceedings. of IEEE Wireless Communication and Networking Conference, Marina Del Rey, Vol. 1, 2002, pp. 356-362.
- S. Han and E. Chan, “Continuous Residual Energy Moni- toring in Wireless Sensor Networks,” 2nd International Symposium on Parallel and Distributed Processing and Applications, Hong Kong, Vol. 3358, 2004, pp. 169-177.
- R. A. F. Mini, A. Loureiro and B. Nath, “Prediction- Based Energy Map for Wireless Sensor Networks,” Ad Hoc Networks, Vol. 3, No. 2, 2005, pp. 235-253.
- X. Q. Meng and N. Thyaga, “Contour Maps: Monitoring and Diagnosis in Sensor Networks,” Computer Networks, Vol. 50, No. 15, 2006, pp. 2820-2838.
- Software Technologies Group (STG), “How does ZigBee Compare with other Wireless Standards,” 2006. http:// www.stg.com/wireless/ZigBee_comp.html
- Freescale Co., “Freescale BeeStack? Software Reference Manual,” 2008. http://www.freescale.com
- ZigBee Alliance, “ZigBee Document 053474r13”, 2006.
- IEEE Standard 802.15.4?, “Part 15.4: Wireless Medium Access Control and Physical Layer Specifications for Low-Rate Wireless Personal Area Networks”, 2003.