원문정보
초록
영어
Sink mobility has been viewed as an important technique to improve network performance for wireless sensor networks (WSNs) such as energy consumption and balancing, network lifetime, throughput, end-to-end delay etc. Also, it can largely mitigate the hot spots near sink node as sink node moves randomly or autonomously. In many applications of WSNs, sensors are deployed in areas accessed by laid roads and sinks can be assembled on mobile devices like bus or handcart. In this paper, we propose a Global Best Path (GBP) data gathering algorithm based on wireless Sensor Networks with single Mobile Sink (GBP-MSSN). It aims at determining the best position for the single mobile sink and further using global sensors information to generate the best scheme to gather data from specified node. Generating of best scheme is conducted by GBP algorithm which can balance energy consumption among whole sensor networks and further prolong the network lifetime. Simulation results show that our GBP-MSSN algorithm outperforms conventional algorithms like LEACH, GAF, etc.
목차
1. Introduction
2. Related Work
3. Our Proposed GBP-MSSN Algorithm
3.1. Main Idea of GBP-MSSN
3.2. Procedure of GBP-MSSN
4. Performance Evaluation
5. Conclusions
Acknowledgements
References
저자정보
참고문헌
- 1(Reference title not available)
- 2An adaptive learning scheme for load balancing with zone partition in multi-sink wireless sensor network네이버 원문 이동
- 3Application-oriented wireless sensor network communication protocols and hardware platforms: A survey네이버 원문 이동
- 4(Reference title not available)
- 5(Reference title not available)
- 6Maximizing the Lifetime of Wireless Sensor Networks with Mobile Sink in Delay-Tolerant Applications네이버 원문 이동
- 7Geographic Adaptive Fidelity and Geographic Energy Aware Routing in Ad Hoc Routing네이버 원문 이동
- 8(Reference title not available)
- 9Data harvesting in sensor networks using mobile sinks네이버 원문 이동
- 10(Reference title not available)
- 11Intuitive task programming of stud welding robots for ship construction네이버 원문 이동
- 12A Rendezvous-Based Approach Enabling Energy-Efficient Sensory Data Collection with Mobile Sinks네이버 원문 이동