에너지 수집형 노드를 사용한 무선 센서 네트워크에서의 적응형 데이터 병합 및 압축 기법
Adaptive Data Aggregation and Compression Scheme for Wireless Sensor Networks with Energy-Harvesting Nodes
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초록
In this paper, we propose an adaptive data aggregation and compression scheme for wireless sensor networks with energy-harvesting nodes, which increases the amount of data arrived at the sink node by efficient use of the harvested energy. In energy-harvesting wireless sensor networks, sensor nodes can have more than necessary energy because they harvest energy from environments continuously. In the proposed scheme, when a node judges that there is surplus energy by estimating its residual energy, the node compresses and transmits the aggregated data so far. Conversely, if the residual energy is estimated to be depleted, the node turns off its transceiver and collects only its own sensory data to reduce its energy consumption. As a result, this scheme increases the amount of data collected at the sink node by preventing the blackout of relay nodes and facilitating data transmission. Through simulation, we show that the proposed scheme suppresses the occurrence of blackout nodes and collect the largest amount of data at the sink node compared to previous schemes.
Abstract
In this paper, we propose an adaptive data aggregation and compression scheme for wireless sensor networks with energy-harvesting nodes, which increases the amount of data arrived at the sink node by efficient use of the harvested energy. In energy-harvesting wireless sensor networks, sensor nodes can have more than necessary energy because they harvest energy from environments continuously. In the proposed scheme, when a node judges that there is surplus energy by estimating its residual energy, the node compresses and transmits the aggregated data so far. Conversely, if the residual energy is estimated to be depleted, the node turns off its transceiver and collects only its own sensory data to reduce its energy consumption. As a result, this scheme increases the amount of data collected at the sink node by preventing the blackout of relay nodes and facilitating data transmission. Through simulation, we show that the proposed scheme suppresses the occurrence of blackout nodes and collect the largest amount of data at the sink node compared to previous schemes.
참고문헌 (30)
- J. Yick, "Wireless sensor network survey", Computer networks, 52(12), pp.2292~2330 (2008)
- I. F. Akyildiz, "Wireless sensor network: a survey", Computer networks, 38(4), pp.393~422 (2002)
- 이기욱, "에너지 효율 제약조건을 가진 센서 네트워크 모니터링 시스템 구현", 멀티미디어학회논문지, 13(1), pp.10~16 (2010), 한국멀티미디어학회
- 김선철, "무선 센서 네트워크의 수명연장을 위한 클러스터링 알고리즘", 한국컴퓨터정보학회논문지, 20(4), pp.77~85 (2015), 한국컴퓨터정보학회
- 신종회, "무선 센서네트워크에서 교차계층 설계 기반의 에너지 효율적인 데이터 전송 기법", 한국컴퓨터정보학회논문지, 13(4), pp.177~184 (2008), 한국컴퓨터정보학회
- 조익래, "EEMR 프로토콜을 이용한 무선 센서 네트워크 노드의 에너지 소비 절감 방법", 한국컴퓨터정보학회논문지, 10(4), pp.229~237 (2005), 한국컴퓨터정보학회
- S. Sudevalayam, "Energy harvesting sensor nodes: Survey and implications", IEEE Communications Surveys and Tutorials, 13(3), pp.443~461 (2011)
- E. Fasolo, "In-network aggregation techniques for wireless sensor networks: a survey", IEEE Wireless Communications, 14(2), pp.70~87 (2007)
- Y. Nie, "An Adaptive State-Aware Routing Algorithm for Data Aggregation in Wireless Sensor Networks", Journal of Communications, 8(5) (2013)
- S. Roundy, "Power sources for wireless sensor networks", Wireless sensor networks, pp.1~17 (2004)
- I. Stojmenovic, "Handbook of sensor networks: Algorithms and architectures", pp.75~100 (2005), Wiley
- A. Kansal, "Performance aware tasking for environmentally powered sensor networks", Proceedings of the 9th Joint International Conference on Measurement and Modeling of Computer Systems, pp.223~234 (2004)
- Y. Yang, "Solarstore: enhancing data reliability in solar- powered storagecentric sensor networks", Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services, pp.333~346 (2009)
- A. Kansal, "Power management in energy harvesting sensor networks", ACM Transaction on Embedded Computing Systems, 6(4), pp.1~38 (2007)
- J. R. Piorno, "Prediction and management in energy harvested wireless sensor nodes", 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, pp.6~10 (2009)
- C. Moser, "Adaptive power management in energy harvesting systems", Proceedings of the Conference on Design, automation and test in Europe, pp.773~778 (2007)
- A. Cammarano, "Pro-energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks", 9th International Conference on Mobile Adhoc and Sensor Systems, pp.75~83 (2012)
- R. Rajagopalan, "Data aggregation techniques in sensor networks: A survey", IEEE Communications Surveys & Tutorials, 8(4), pp.48~63 (2006)
- B. Krishnamachari, "Impact of Data Aggregation in Wireless Sensor Networks", 22nd International Conference on Distributed Computing Systems, pp.575~578 (2002)
- W. R. Heinzelman, "Application-Specific Protocol Architectures for Wireless Networks", Ph.D, pp.2000
- S. Chatterjea, "A Dynamic Data Aggregation Scheme For Wireless Sensor Networks", 14th Workshop on Circuits, Systems and Signal Processing (2003)
- S. Boyd, "Gossip algorithms: Design, analysis and applications", IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 3, pp.1653~1664 (2005)
- D. Petrovic, "Data funneling: Routing with aggregation and compression for wireless sensor networks", The First IEEE International Workshop on Sensor Network Protocols and Applications, pp.156~162 (2003)
- T. Arici, "Pinco: A pipelined in-network compression scheme for data collection in wireless sensor networks", The 12th International Conference on Computer Communications and Networks, pp.539~544 (2003)
- C. M. Sadler, "Data compression algorithms for energy constrained devices in delay tolerant networks", The 4th International Conference on Embedded Networked Sensor Systems, pp.265~278 (2006)
- M. Kang, "Energy-aware Selective Compression Scheme for Solar Energy based Wireless Sensor Networks", ACM Conference on Research in Adaptive and Convergent Systems, pp.231~236 (2015)
- D. Noh, "Minimum Variance Energy Allocation for a Solar-Powered Sensor System", LNCS (IEEE, 2009, pp.5516, 44~57
- A. Cammarano, "Pro- Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks", IEEE 9th International Conference on In Mobile Adhoc and Sensor Systems, pp.75~83 (2012)
- T. Melodia, "Optimal local topology knowledge for energy efficient geographical routing in sensor networks", 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, pp.1705~1716 (2004)
- J. Yi, "SolarCastalia - Solar Energy Harvesting Wireless Sensor Network Simulator", International Journal of Distributed Sensor Networks, 2015, pp.1~10 (2015)