Task & Resource Self-Adaptive Embedded Real-Time Operating System Micorkernel for Wireless Sensor Nodes

摘要

Wireless Sensor Networks (WSNs) are used in many application fields, such as military,healthcare, environment surveillance, etc. The WSN OS based on event-driven model doesn’tsupport real-time and multi-task application types and the OSs based on thread-driven modelconsume much energy because of frequent context switch. Due to the high-dense and largescaledeployment of sensor nodes, it is very difficult to collect sensor nodes to update theirsoftware. Furthermore, the sensor nodes are vulnerable to security attacks because of thecharacteristics of broadcast communication and unattended application. This paper presents atask and resource self-adaptive embedded real-time microkernel, which proposes hybridprogramming model and offers a two-level scheduling strategy to support real-time multi-taskcorrespondingly. A communication scheme, which takes the “tuple” space and “IN/OUT”primitives from “LINDA”, is proposed to support some collaborative and distributed tasks. Inaddition, this kernel implements a run-time over-the-air updating mechanism and provides asecurity policy to avoid the attacks and ensure the reliable operation of nodes. The performanceevaluation is proposed and the experiential results show this kernel is task-oriented andresource-aware and can be used for the applications of event-driven and real-time multi-task.