Expanding Ring Search (ERS) is an advanced flooding technique exploring for targets progressively. It is widely used to locate destinations or information in wireless sensor networks. In this paper, a fundamental problem concerning the best ERS strategy to minimize energy cost in wireless sensor networks is addressed. We propose a model for estimating the average energy cost of ERS strategies, and a model for comparing the energy cost of an ERS strategy with pure flooding. The second model is then used to prove that incremental ERS strategies are inefficient in large-scale wireless sensor networks. Furthermore, we propose an ERS strategy optimization algorithm SSetOpt, which can be applied to both dense wireless sensor networks and sparse ones. The simulation results show that the strategy obtained by SSetOpt can cost 5% less energy than prior works when the network is sparse, say, the average degree is less than 30..
목차
Abstract 1. Introduction 2. ERS Energy Cost Analysis 2.1. Assumptions and Notations 2.2. Energy Cost Analytical Model 2.3. Relative Cost Ratio Analytical Model 3. Inefficient ERS Strategies 4. ERS Strategy Optimization 4.1 SSetOpt 4.2. Searching based on SSetOpt 5. Simulation 5.1 Simulation Setup 5.2. Density 5.3. Source Node Locations 6. Conclusions Acknowledgements References
보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Smart Home
간기
격월간
pISSN
1975-4094
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Smart Home Vol.10 No.9