지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2015.10
- 수록면
- 1,435 - 1,440 (6page)
이용수
초록· 키워드
오류제보하기
wireless sensor network employed mobile sinks to collect a set of samples from sensor field. Low-cost and small sensor devices contain various resource restrictions that introduce new challenges for data collection and aggregation in sensor networks. Among these limitations, energy is usually the primary concern when designing an in-network algorithm. The main task of sampling the sensor field is to manage the energy efficiency of the sensor source nodes when sharing out the data to the target node. The path of sending the sensor data is effectively recognized however uses more cost to forward sensor data packet. To improve the mobile sampling in sensor field, a novel method is designed to plan synchronize numerous sampling tasks. It is feasible by the sensor nodes to hold numerous sampling tasks, started by means of the same or different mobile objects in which the sampling regions gets overlapped. So, it is attractive to include an effective synchronization mechanism so that overlapped regions required only one reply for the sampling tasks. Here, a geometric series method is presented as a synchronization mechanism to synchronize the numerous sampling tasks to help the rebroadcast system by utilizing only the minimum amount of energy. Experimental simulations are carried out to calculate the performance of the proposed synchronizing numerous sampling tasks in sensor field using geometric series [SNSTGS] system against Band-based Directional Broadcast by means of average number of messages, overlap percentage, data deliverability.
목차
Abstract
1. INTRODUCTION
2. LITERATURE REVIEW
3. PROPOSED METHODOLOGY
4. EXPERIMENTAL EVALUATION
5 RESULTS AND DISCUSSION
6 CONCLUSION
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2016-569-001919230