The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We present Tunable Time Resolution (TTR), a novel energy-conserving technique, to reduce the power consumption of Micro Controller Unit (MCU) in low-duty-cycle wireless sensor networks. This power consumption is highly correlated to the time resolution of the operating system, which is decided by the frequency of Timer Interrupt Request (IRQ). Therefore, we utilize a high time resolution in active...
In battery-operated nodes of a wireless sensor network, energy is a scarce resource that should not be wasted. During the recent years, energy efficient algorithms and protocols to maximize network lifetime have attracted the attention of many researchers. As the radio transceiver is one of the elements of the node that has higher power consumption, a typical approach to save energy is to minimize...
The development of hardware platforms for sensing applications and the design of energy-efficient protocols for data gathering are typically viewed as separate tasks. In many cases, communication engineers decide on the protocol specification based on high-level hardware abstractions, which assume that the radio transmission block is the top spender of electrical power. However, a closer inspection...
This article presents the hardware software co-optimized implementation of the IEEE 802.15.4 protocol for a Wireless image Sensor Network (WiSN) node SoC. In order to to minimize the power consumption and hardware software implementation cost, a power and cost aware partition scheme is introduced. Then the optimized hardware accelerator is designed and validated with software driver/stack based on...
Wireless Sensor Networks (WSNs) are being gradually introduced in different application scenarios. One of the main constraints for their deployment is energy consumption, as sensor nodes are usually stand alone battery-powered devices. For this reason, most efforts in research are being focused in energy-aware architectures and protocols. To aid in this search of most energy efficient strategies,...
New hardware platform architecture for “over-the-air” reprogramming in Wireless Sensor Networks (WSN) is presented in this article. The suggested approach is based on the usage of microcontroller RAM memory for running the program while the program memory is being changed. Implementation of suggested solution does not require any additional components and is applicable to a wide range of microcontrollers...
Wireless sensor networks usually require certain level of security, however there is lack of sensor nodes with cryptographic hardware build-in. We proved realization of cryptographic platform based on smart card-sensor node connection. Time complexity and power consumption of the platform was measured and compared to conventional software implementation. Our results showed low power demand and high...
Nowadays the WSN protocol stack based on ZigBee, such as Z-Stack, has a good performance in many respects. Yet there also exists some problems in ZigBee when applied in simple data acquisition applications with limited resources.This paper designs a more suitable WSN protocol stack named Em-Stack, which is compatible with IEEE 802.15.4. Based on the chip CC2430, Em-Stack adopts several key technologies...
Networks consisting of many autonomous sensors are gaining importance. Most wireless sensors have small batteries and must therefore be designed to consume very little power. In this paper, an approach for whole-system simulation for ultra-low power wireless sensor networks is proposed. To be able to estimate the power consumption of the whole network, the simulation framework must not only simulate...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.