LOCATION DEPENDENT DATA RETRIEVAL FOR NDN-BASED IOT

Recently, the Internet of things (IoT) has shifted from using specialized hardware and proprietary protocols toward widespread adoption of open standard technologies that are based on IP paradigm. Besides, the increasing demands for smarter yet more efficient indoor space further shift IoT toward advanced technologies and architectures, such as Named Data Networking (NDN), for better integration with the physical world. However, large-scale deployment, such as location-aware service, of IoT face challenges of IP complexity and packet overhead, reliance on the middleware for simple communication and security, especially for resource-constraint devices of IoT. NDN, future networking paradigm, is a new promising approach that addresses the scalability issues in IP-paradigm and provides a hierarchal content naming scheme, flexible content retrieval and in- network caching. In this research, a location- aware service is proposed based on the basic communication principle of NDN. The proposed design aims to improve content naming and delivery, addressing, data aggregation and mobility, by using contents and management distribution, and at the same time provide location estimation for the user. It also provides an efficient content delivery mechanism of the searched information within a search diameter by dividing the environment area into squares.