今日推荐

2003 - 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003.

IEEE 802.15.4 low rate - wireless personal area network coexistence issues

IEEE 802.15.4 is a proposed standard addressing the needs of low-rate wireless personal area networks or LR-WPAN with a focus on enabling wireless sensor networks. The standard is characterized by maintaining a high level of simplicity, allowing for low cost and low power implementations. Its operational frequency band includes the 2.4 GHz industrial, scientific and medical band providing nearly worldwide availability; additionally, this band is also used by other IEEE 802 wireless standards. Coexistence among diverse collocated devices in the 2.4 GHz band is an important issue in order to ensure that each wireless service maintains its desired performance requirements. This paper presents a brief technical introduction of the IEEE 802.15.4 standard and analyzes the coexistence impact of an IEEE 802.15.4 network on the IEEE 802.11b devices.

2005 - Comput. Commun.

Performance analysis of low rate wireless technologies for medical applications

In this article, we discuss what wireless technologies can be used for medical applications and how well they perform in a healthcare/hospital environment. We consider the emerging low-rate Wireless Personal Area Network technology as specified in the Institute of Electrical and Electronics Engineers 802.15.4 standard and evaluate its suitability to the medical environment. We focus on scalability issues and the need to support tens of communicating devices in a patient's hospital room. We evaluate the effect of packet segmentation and backoff parameter tuning to improve the overall network performance that is measured in terms of packet loss, goodput, and access delay. We also evaluate the performance of 802.15.4 devices under interference conditions caused by other 802.15.4 devices and by wireless local area networks using IEEE 802.11b.

2010 - 2010 7th International Symposium on Wireless Communication Systems

Overview of the IEEE 802.15.4 standards family for Low Rate Wireless Personal Area Networks

Low Rate Wireless Personal Area Networks (LR-PAN) such as sensor networks have become very popular in recent years. These networks can be implemented with little or no infrastructure. The first step of standardization for such LR networks was taken in 2003 when the IEEE 802.15.4 was approved. This standard however went through an enhancement process and a newer version was released in 2006 known as the IEEE 802.15.4–2006 (or 802.15.4b) standard. However neither of the two standards supported ranging capabilities between nodes in the network. In order to support distance and hence location information, the IEEE 802.15.4–2007 was approved (also known as 802.15.4a). Standardization process continued and newer standards such as the IEEE 802.15.4c and 4d were sanctioned very recently. This paper reviews the network topologies, physical and MAC layers of the IEEE 802.15.4 family.

论文关键词

neural network differential equation deep learning convolutional neural network convolutional neural software development deep neural network feature selection open source deep neural optical network learning approach geographic information system distributed generation geographic information stochastic differential equation power allocation open source software stochastic differential deep convolutional neural source software deep convolutional named entity recognition loss function human action space telescope personal area network mental health feature learning wireless personal area elastic optical multi-task learning personal area elastic optical network network reconfiguration wireless personal learning problem hubble space telescope learning task software developer high rate water pressure hubble space doubly stochastic open source tool source software development free and open capacity allocation low rate source software project group lasso path protection sparse learning backup path rate wireles open source gi spare capacity optimal reconfiguration source gi multi-task deep backward doubly stochastic doubly stochastic differential backward doubly big bang-big crunch low rate wireles survivable routing multi-task deep learning guidance sensor bang-big crunch big bang-big multi-task learning approach source software tool deep multi-task deep multi-task learning pose-invariant face high water pressure fine guidance shared backup fine guidance sensor multi-task convolutional neural multi-task learning model source gis software shared backup path multi-task feature bang-big crunch algorithm backup path protection approximating optimal crunch algorithm multi-task learning method software movement multi-task network spare capacity allocation multi-task convolutional multi-task cnn multi-task sparse multi-task feature learning multi-task regression multi-task allocation feature learning algorithm multiple related task multi-task multi-view multi-task learning algorithm soils contaminated