Abstract: A decision method considering time and power consumption for offloading computations is provided. The method includes: obtaining a computing mission; obtaining a plurality of static effect factors from an effect factor table; collecting a plurality of dynamic effect factors. The method also includes: generating power consumptions and computing time that each of the computing unit and each of the server consumes according to the dynamic effect factors and the static effect factors; calculating cost values of executing the computing mission according to the power consumptions and the computing time; determining a target unit to execute the computing mission according to the cost values, in which the target unit is a computing unit or a server; executing the computing mission by the target unit. Therefore, the power consumptions and the computing time are simultaneously considered, and computations are adequately allocated to one of the computing unit and the servers.

Abstract: A decision method considering time and power consumption for offloading computations is provided. The method includes: obtaining a computing mission; obtaining a plurality of static effect factors from an effect factor table; collecting a plurality of dynamic effect factors. The method also includes: generating power consumptions and computing time that each of the computing unit and each of the server consumes according to the dynamic effect factors and the static effect factors; calculating cost values of executing the computing mission according to the power consumptions and the computing time; determining a target unit to execute the computing mission according to the cost values, in which the target unit is a computing unit or a server; executing the computing mission by the target unit. Therefore, the power consumptions and the computing time are simultaneously considered, and computations are adequately allocated to one of the computing unit and the servers.

Abstract: A sampling rate allocation method for a wireless sensor network is provided. In this method, a distributed computing method is adopted to allow each node to calculate and obtain its decision table and energy table and upload its energy table to its parent node, and finally, the number of samples to be provided by all the child nodes is determined according to the decision table of the root node and a total sample number. Compared to the conventional techniques, the present invention provides a wireless sensor network which has longer life time and can meet the requirements to both the total number of samples and the fairness.

Abstract: A sampling rate allocation method for a wireless sensor network is provided. In this method, a distributed computing method is adopted to allow each node to calculate and obtain its decision table and energy table and upload its energy table to its parent node, and finally, the number of samples to be provided by all the child nodes is determined according to the decision table of the root node and a total sample number. Compared to the conventional techniques, the present invention provides a wireless sensor network which has longer life time and can meet the requirements to both the total number of samples and the fairness.