This paper proposes a resource-based task allocation algorithm for multi-robot systems.
We propose a novel task allocation algorithm for energy harvesting wireless sensor networks that operates in two phases: task scheduling of DAG and task mapping to the solar-powered sensor nodes.
The main contributions of this work are summarized as follows: We propose a novel task allocation algorithm for energy harvesting wireless sensor networks that operates in two phases: task scheduling of DAG and task mapping to the solar-powered sensor nodes.
During the design of a Real-Time Multiprocessor System, schedulability tests are a key component of the task allocation algorithms.
In this paper, we propose task allocation algorithms to deal with these issues.
We present a multi-heuristic evolutionary task allocation algorithm to dynamically map tasks to processors in a heterogeneous distributed system.
Given the predicted energy and the task graph from WSNs' application, the task allocation algorithm can be run.
It also describes and evaluates energy allocation algorithms for wearable energy harvesting devices that take into account practical design considerations.
Combined spectrum sensing and resource allocation algorithms for cognitive radios.
RVEF during exercise assessed by ERNA could be incorporated into priority-based allocation algorithms for LTx.
