The Army, Navy, and Air Force are currently making various efforts to apply defense IoT technology by reflecting the characteristics of each military. However, there are concerns that comprehensive collection, management, and analysis may be limited because each military has no overlapping system or guaranteed interoperability of data, and there are inefficient aspects in terms of using and investing a limited defense budget. In this study, evaluation items and priorities for pilot projects were selected by applying Delphi technique and AHP method to determine which projects are preferentially effective when commonly applied in terms of Army, Navy, and Air force. As a result of the analysis, the project basis and driving force, project feasibility, performance and ripple effect, redundancy and connection were identified in the order of IoT-based small detachment units and unmanned base construction, intelligent smart unit, smart ground ammunition depot, and smart training management system. According to the comprehensive results reflecting the weights of each evaluation item, the fact that small detachment units and unmanned base construction project are recognized as the first project to be applied to the Army, Navy, and Air Force is a valid approach to be effective while each military is burdened with personnel management because of the reduction of manpower. Through the research results, it is expected that the direction of application to the policy of the defense IoT project can be confirmed in terms of efficient use of limited budgets.

1. 서 론
2. 이론적 배경
    2.1 국방 IoT 관련 기존연구
    2.2 국방 IoT가 적용된 기존 군 시범사업
    2.3 델파이 기법
    2.4 계층적 분석법(AHP)
3. 연구모형 및 방법
    3.1 연구모형
    3.2 연구방법: 델파이(전문가 선정 및 자료수집)
    3.3 연구방법: AHP (시범사업 분석)
4. AHP 평가결과 및 분석
    4.1 평가항목에 대한 가중치 산정결과
    4.2 공통 적용을 위한 시범사업 우선순위 결과
5. 결론 및 시사점
Acknowledgement
References

• Young-Min Bae(경남대학교 군사학과) | 배영민 Corresponding author