A Tier-Based Duty-Cycling Scheme for Forest Monitoring
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Wireless sensor networks for forest monitoring are typically deployed in fields in which manual interventioncannot be easily accessed. An interesting approach to extending the lifetime of sensor nodes is the use ofenergy harvested from the environment. Design constraints are application-dependent and based on themonitored environment in which the energy harvesting takes place. To reduce energy consumption, wedesigned a power management scheme that combines dynamic duty cycle scheduling at the network layer toplan node duty time. The dynamic duty cycle scheduling is realized based on a tier structure in which thenetwork is concentrically organized around the sink node. In addition, the multi-paths preserved in the tierstructure can be used to deliver residual packets when a path failure occurs. Experimental results show thatthe proposed method has a better performance.
Abstract
Wireless sensor networks for forest monitoring are typically deployed in fields in which manual interventioncannot be easily accessed. An interesting approach to extending the lifetime of sensor nodes is the use ofenergy harvested from the environment. Design constraints are application-dependent and based on themonitored environment in which the energy harvesting takes place. To reduce energy consumption, wedesigned a power management scheme that combines dynamic duty cycle scheduling at the network layer toplan node duty time. The dynamic duty cycle scheduling is realized based on a tier structure in which thenetwork is concentrically organized around the sink node. In addition, the multi-paths preserved in the tierstructure can be used to deliver residual packets when a path failure occurs. Experimental results show thatthe proposed method has a better performance.
참고문헌 (25)
- K. Sarammal, "A review: wireless sensor networks and its application, platforms, standards and tools", International Journal of Computer Trends and Technology (IJCTT), 4(8), pp.2905~2911 (2013)
- S. Agarwal, "Energy efficient MAC protocols for wireless sensor network", International Journal on Computational Sciences & Applications(IJCSA), 4(1), pp.153~160 (2014)
- K. Nguyen, "Low overhead MAC protocol for low data rate wireless sensor networks", International Journal of Distributed Sensor Networks, 2013 (2013)
- P. Huang, "The evolution of MAC protocols in wireless sensor networks : a survey", IEEE Communications Surveys & Tutorials, 15(1), pp.101~120 (2013)
- R. C. Carrano, "Survey and taxonomy of duty cycling mechanisms in wireless sensor networks", IEEE Communications Surveys & Tutorials, 16(1), pp.181~194 (2014)
- S. Das, "Energy efficient cluster based hierarchical routing protocols in wireless sensor network : a survey", Multidisciplinary Journal of Research in Engineering and Technology, 1(1), pp.6~22 (2014)
- A. V. Nagpure, "Topology control in wireless sensor network : an overview", International Journal of Computer Applications, 92(7), pp.13~18 (2014)
- H. Y. Zhou, "An event-driven multi-threading real-time operating system dedicated to wireless sensor networks", Proceedings of the International Conference on Embedded Software and Systems (ICESS '08), pp.3~12 (2008)
- G. Zhou, "Harvesting ambient environmental energy for wireless sensor networks: a survey", Journal of Sensors, 2014 (2014)
- Amine Dahane, "A Virtual Laboratory to Practice Mobile Wireless Sensor Networks: A Case Study on Energy Efficient and Safe Weighted Clustering Algorithm", JIPS(Journal of Information Processing Systems), 11(2), pp.205~228 (2015), 한국정보처리학회[DOI]
- A. Bachir, "MAC essentials for wireless sensor networks", IEEE Communications Surveys & Tutorials, 12(2), pp.222~248 (2010)
- R. C. Carrano, "IEEE 802. 11s multihop MAC : a tutorial", IEEE Communications Surveys & Tutorials, 13(1), pp.52~67 (2011)
- L. Choi, "SPEED-MAC: speedy and energy efficient data delivery MAC protocol for real-time sensor network applications", Proceedings of the IEEE International Conference on Communications, pp.1~6 (2010)
- D. Kruger, "CUPID: communication pattern informed duty cycling in sensor networks", Proceedings of the 5th International Conference on Systems and Networks Communications, pp.70~75 (2010)
- P. Basu, "Opportunistic forwarding in wireless networks with duty cycling", Proceedings of the 3rd ACM workshop on Challenged Networks, pp.19~26 (2008)
- Y. C. Tseng, "Power-saving protocols for IEEE 802. 11-based multi-hop ad hoc networks", Computer Networks, 43(3), pp.317~337 (2003)
- J. R. Jiang, "Quorum-based asynchronous power-saving protocols for IEEE 802. 11 ad hoc networks", Mobile Networks and Applications, 10(1-2), pp.169~181 (2005)
- R. Musaloiu-E, "Koala: ultra-low power data retrieval in wireless sensor networks", Proceedings of the 7th International Conference on Information Processing in Sensor Networks, pp.421~432 (2008)
- Y. Sun, "RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks", Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, pp.1~14 (2008)
- 전영애, "An Adaptive Superframe Duration Allocation Algorithm for Resource-Efficient Beacon Scheduling", JIPS(Journal of Information Processing Systems), 11(2), pp.295~309 (2015), 한국정보처리학회[DOI]
- P. Le-Huy, "Low-power wake-up radio for wireless sensor networks", Mobile Networks and Applications, 15(2), pp.226~236 (2010)
- S. Marinkovic, "Nano-power wake-up radio circuit for wireless body area networks", Proceedings of the IEEE Radio and Wireless Symposium, pp.398~401 (2011)
- A. Pughat, "A review on stochastic approach for dynamic power management in wireless sensor networks", Human-centric Computing and Information Sciences, 5(4), pp.1~14 (2015)
- M. Cha, "Adaptive duty-cycling to enhance topology control schemes in wireless sensor networks", International Journal of Distributed Sensor Networks, 2014 (2014)
- D. Gao, "Anycast routing protocol for forest monitoring in rechargeable wireless sensor networks", International Journal of Distributed Sensor Networks, 2013 (2013)
