Managing software evolution in large-scale wireless sensor and actuator networks

Abstract

Wireless sensor and actuator networks (WSANs) will increasingly require support for managed software evolution: that is, systematic, ongoing, efficient and nondisruptive means of updating the software running on the nodes of a WSAN. While aspects of this requirement have been examined in the literature, the big picture remains largely untouched, resulting in the generally static WSAN deployments we see today. In this article, we propose a comprehensive approach to managed software evolution. Our approach has the following key features: (i) it supports divergent evolution of the WSAN's software, such that different nodes can evolve along different lines (e.g., to meet the needs of different stakeholders, or to address localized adaptations) and (ii) it supports both instructed and autonomous evolution such that nodes can be instructed to change their software configuration or can evolve their own configuration (e.g., to manage rapidly-changing environmental conditions where remote micromanagement would be infeasible due to the high latency of the WSAN environment). We present the four intra-WSAN protocols that comprise our solution, along with an accompanying server-side infrastructure, and evaluate our approach at scale.