Biblio

Internet of Things (IoT) is a growing topic of interest along with 5G. Billions of IoT devices are expected to connect to the Internet in the near future. These devices differ from the traditional devices operated in the Internet. We observe that Information Centric Networking (ICN), is a more suitable architecture for the IoT compared to the prevailing IP basednetwork. However, we observe that recent works that propose to use ICN for IoT, either do not cover the need to integrate Sensor Networks with the Internet to realize IoT or do so inefficiently. Fog computing is a promising technology that has many benefits to offer especially for IoT. In this work, we discover a need to integrate various heterogeneous Sensor Networks with the Internet to realize IoT and propose FOGG: A Fog Computing Based Gateway to Integrate Sensor Networks to Internet. FOGG uses a dedicated device to function as an IoT gateway. FOGG provides the needed integration along with additional services like name/protocol translation, security and controller functionalities.

Key management is the core to ensure the communication security of wireless sensor network. How to establish efficient key management in wireless sensor networks (WSN) is a challenging problem for the constrained energy, memory, and computational capabilities of the sensor nodes. Previous research on sensor network security mainly considers homogeneous sensor networks with symmetric key cryptography. Recent researches have shown that using asymmetric key cryptography in heterogeneous sensor networks (HSN) can improve network performance, such as connectivity, resilience, etc. Considering the advantages and disadvantages of symmetric key cryptography and asymmetric key cryptography, the paper propose an efficient and hybrid key management method for heterogeneous wireless sensor network, cluster heads and base stations use public key encryption method based on elliptic curve cryptography (ECC), while using symmetric encryption method between adjacent nodes in the cluster. The analysis and simulation results show that the proposed key management method can provide better security, prefect scalability and connectivity with saving on storage space.