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논문검색

A Combined System of Secure Hashing and Neural Networks in Sensor Networks of Living Environment

초록

영어

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

저자정보

  • Sang-Hyun Lee Dept. of Computer Engineering, Honam University
  • Sang-Joon Lee School of Business Administration, Chonnam National University
  • Kyung-Il Moon Dept. of Computer Engineering, Honam University

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