Sensor networks have a significant potential in diverse applications, and some have already been deployed in monitoring system of living environment. With the increasing complexity of application logic, difficulties in monitoring sensor networks have become a barrier to the adoption of these networks. The difficulties are due not only to their inherently distributed nature but also to the need for mechanisms to address their harsh operating conditions such as unreliable communications, faulty nodes, and extremely constrained resources. Living Environment monitoring is composed mainly of sensor data on air, water, and ecotourism quality. Wireless sensor networks(WSNs) entail a substantial loss of energy because there is a need for some mechanisms that can select multiple communications in single communications. This kind of merging is called data aggregation. This paper presents a secure and authentication-based approach to the data aggregation of living environment. User authentication is performed using a secure hash algorithm. This paper also introduces a neural network to check bad packet communications over the network. The results indicate that the proposed approach is more reliable and efficient than existing ones.
목차
Abstract 1. Introduction 2. Wireless Sensor Networks of Living Environment 3. Secure Hashing and Neural Networks 4. Results 5. Conclusions References
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
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 Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.9