Real-time task mapping and scheduling for collaborative in-network processing in DVS-enabled wireless sensor networks

Abstract

With the increasing importance of energy consumption considerations and new requirements of emerging applications, in-network processing of information gains recognition as a viable solution for wireless sensor networks (WSNs). The required processing capability can be achieved through locally collaborative information processing among sensors. Task mapping and scheduling plays an important role in efficient collaborative information processing. Although task mapping and scheduling in wired networks of processors has been well studied in the past, its counterpart for WSNs remains largely unexplored. In this paper, a task mapping and scheduling solution for real-time applications in WSNs, real-time task mapping and scheduling (RT-MapS), is presented. RT-MapS incorporates wireless channel modeling, hyper-DAG extension, concurrent task mapping, communication and computation scheduling, and dynamic voltage scaling (DVS) methods. Simulation results show significant performance improvements compared with existing mechanisms in terms of providing deadline guarantee with minimum energy consumption.