Efficient Remote Software Management Method based on Dynamic Address Translation for IoT Software Execution Platform in Wireless Sensor Network

Abstract

Background/Objectives: In this paper, an efficient remote code execution technique is proposed to implement a storage-less sensor in the Internet-of-Things (IoT) paradigm. Methods/Statistical Analysis: To realize a flexible code update mechanism and to optimize the use of an IoT device in terms of utilizing its various functions, we adopt the concept of remote on-demand code execution (ROCE) to implement a storage-less sensor. Findings: Instead of using a conventional on-chip flash memory for an instruction code, an instruction memory is used wherein the remote storage area based on the IoT platform is virtually mapped onto the address space of the instruction memory using a dynamic address translation technique. The proposed storage-less approach using the remote resource as a virtual code space may be adopted to reduce the high access current and chip area overhead of an on-chip code flash memory. Application/Improvements: The proposed technique reduces the energy consumption and the packet delay of an IoT device for executing the remote embedded software, as well as realizes a storage-less sensor architecture.