Lifetime Improvement by Battery Scheduling
نویسندگان
چکیده
The use of mobile devices is often limited by the lifetime of their batteries. For devices that have multiple batteries or that have the option to connect an extra battery, battery scheduling, thereby exploiting the recovery properties of the batteries, can help to extend the system lifetime. Due to the complexity, work on battery scheduling in literature is limited to either small batteries or to very simple loads. In this paper, we present an approach using the Kinetic Battery Model that combines real size batteries with realistic random loads. The results show that, indeed, battery scheduling results in lifetime improvements compared to the sequential useage of the batteries. The improvements mainly depend on the ratio between the average discharge current and the battery capacity. Our results show that for realistic loads one can achieve up to 20% improvements in system lifetime by applying battery scheduling.
منابع مشابه
Scheduling above Mac to Maximize Battery Lifetime and Throughput in Wlans
Maximizing battery lifetime and throughput is important in today’s WLAN networks. In this work, we propose a distributed scheduling algorithm above the MAC layer that addresses these problems. We test our ideas on a heterogeneous wireless sensor network we have deployed in southern California – HPWREN. The results show that with our scheduling algorithm it is possible to achieve a throughput im...
متن کاملComputing Optimal Schedules for battery Usage in Embedded Systems
The use of mobile devices is often limited by the battery lifetime. Some devices have the option to connect an extra battery, or to use smart battery-packs with multiple cells to extend the lifetime. In these cases, scheduling the batteries or battery cells over the load to exploit the recovery properties of the batteries helps to extend the overall systems lifetime. Straightforward scheduling ...
متن کاملWireless Sensor Network Lifetime Enhancement Using Modified Clustering and Scheduling Algorithm
Random distribution of sensor nodes in large scale network leads redundant nodes in the application field. Sensor nodes are with irreplaceable battery in nature, which drains the energy due to repeated collection of data and decreases network lifetime. Scheduling algorithms are the one way of addressing this issue. In proposed method, an optimized sleep scheduling used to enhance the network li...
متن کاملEnergy Efficient Machine-Type Communications over Cellular Networks A Battery Lifetime-Aware Cellular Network Design Framework
Internet of Things (IoT) refers to the interconnection of uniquely identifiable smart devices which enables them to participate more actively in everyday life. Among large-scale applications, cheap and widely spread machine-tomachine (M2M) communications supported by cellular networks, also known as machine-type communications (MTC), will be one of the most important enablers for the success of...
متن کاملA First Experimental Investigation of the Practical Efficiency of Battery Scheduling
Nowadays, mobile devices are used more and more, and their battery lifetime is a key concern. In this paper, we concentrate on a method called battery scheduling with the aim to optimize the battery lifetime of mobile devices. This technique has already been largely theoretically studied in other papers. It consists, for systems containing multiple batteries, in switching the load from one batt...
متن کامل