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相关论文: Lifetime Improvement of Wireless Sensor Networks b…

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Collaborative beamforming (CB) and cooperative transmission (CT) have recently emerged as communication techniques that can make effective use of collaborative/cooperative nodes to create a virtual multiple-input/multiple-output (MIMO)…

信息论 · 计算机科学 2007-07-13 Zhu Han , H. Vincent Poor

Energy-efficient communication is an important issue in wireless sensor networks (WSNs) consisting of large number of energy-constrained sensor nodes. Indeed, sensor nodes have different energy budgets assigned to data transmission at…

信息论 · 计算机科学 2014-01-17 Mohammed F. A. Ahmed , Sergiy A. Vorobyov

Cooperative beamforming (CB) has been proposed as a special case of coordinated multi-point techniques in wireless communications. In wireless sensor networks, CB can enable low power communication by allowing a collection of sensor nodes…

信息论 · 计算机科学 2015-10-29 Spyridon Vassilaras , George C. Alexandropoulos , Antonis A. Kalis

Topology control algorithms allow each node in a wireless multi-hop network to adjust the power at which it makes its transmissions and choose the set of neighbors with which it communicates directly, while preserving global goals such as…

网络与互联网体系结构 · 计算机科学 2013-09-13 Xiaoyu Chu , Harish Sethu

We consider a single-hop data gathering sensor cluster consisting of a set of sensors that need to transmit data periodically to a base-station. We are interested in maximizing the lifetime of this network. Even though the setting of our…

信息论 · 计算机科学 2007-07-13 Samar Agnihotri , Pavan Nuggehalli

Network connectivity is one of the major design issues in the context of mobile sensor networks. Due to diverse communication patterns, some nodes lying in high-traffic zones may consume more energy and eventually die out resulting in…

网络与互联网体系结构 · 计算机科学 2023-08-10 Abbas Mirzaei , Shahram Zandiyan

As network deployments become denser, interference arises as a dominant performance degradation factor. To confront with this trend, Long Term Evolution (LTE) incorporated features aiming at enabling cooperation among different base…

信息论 · 计算机科学 2017-01-24 George C. Alexandropoulos , Paul Ferrand , Constantinos B. Papadias

Wireless sensor networks have significant potential to increase our ability to view and control the physical environment, but the issue of power consumption in these networks has become an important parameter in their reliability and since…

网络与互联网体系结构 · 计算机科学 2022-07-19 Nahid Ebrahimi , Ali Taghavirashidizadeh , Seyyed Saeed Hosseini

Collaborative beamforming (CB) is a power efficient method for data communications in wireless sensor networks (WSNs) which aims at increasing the transmission range in the network by radiating the power from a cluster of sensor nodes in…

信息论 · 计算机科学 2015-05-18 Mohammed F. A. Ahmed , Sergiy A. Vorobyov

We are concerned with maximizing the lifetime of a data-gathering wireless sensor network consisting of set of nodes directly communicating with a base-station. We model this scenario as the m-message interactive communication between…

信息论 · 计算机科学 2007-07-13 Samar Agnihotri , Pavan Nuggehalli

This paper presents a two-phase cooperative communication strategy and an optimal power allocation strategy to transmit sensor observations to a fusion center in a large-scale sensor network. Outage probability is used to evaluate the…

网络与互联网体系结构 · 计算机科学 2012-08-23 Li Li , Kamesh Namuduri , Shengli Fu

Many physical systems, such as water/electricity distribution networks, are monitored by battery-powered Wireless Sensor Networks (WSNs). Since battery replacement of sensor nodes is generally difficult, long-term monitoring can be only…

系统与控制 · 计算机科学 2017-04-27 Rong Du , Lazaros Gkatzikis , Carlo Fischione , Ming Xiao

Via collaborative beamforming, nodes in a wireless network are able to transmit a common message over long distances in an energy efficient fashion. However, the process of making available the same message to all collaborating nodes…

信息论 · 计算机科学 2016-11-17 Lun Dong , Athina P. Petropulu , H. Vincent Poor

In wireless sensor networks, a few sensor nodes end up being vulnerable to potentially rapid depletion of the battery reserves due to either their central location or just the traffic patterns generated by the application. Traditional…

网络与互联网体系结构 · 计算机科学 2013-09-16 Xiaoyu Chu , Harish Sethu

Coherent communications aim to support higher data rates and extended connectivity at lower power consumption compared with traditional point-to-point transmissions. The typical setting of coherent communication schemes is based on a single…

网络与互联网体系结构 · 计算机科学 2019-12-24 Yi Shi , Yalin E. Sagduyu

Wireless Sensor Networks are basically used for gathering information needed by smart environments but they are particularly useful in unattended situations where terrain, climate and other environmental constraints may hinder in the…

网络与互联网体系结构 · 计算机科学 2010-05-24 Sami Halawani , Abdul Waheed Khan

A simple feedback control algorithm is presented for distributed beamforming in a wireless network. A network of wireless sensors that seek to cooperatively transmit a common message signal to a Base Station (BS) is considered. In this…

信息论 · 计算机科学 2007-07-16 R. Mudumbai , J. Hespanha , U. Madhow , G. Barriac

This paper proposes prediction-and-sensing based spectrum sharing, a new spectrum-sharing model for cognitive radio networks, with a time structure for each resource block divided into a spectrum prediction-and-sensing phase and a data…

信息论 · 计算机科学 2017-07-25 Van-Dinh Nguyen , Oh-Soon Shin

Considering a wireless sensor network whose nodes are distributed randomly over a given area, a probability model for the network lifetime is provided. Using this model and assuming that packet generation follows a Poisson distribution, an…

网络与互联网体系结构 · 计算机科学 2007-10-02 Moslem Noori , Masoud Ardakani

We consider a system that is composed of an energy constrained sensor node and a sink node, and devise optimal data compression and transmission policies with an objective to prolong the lifetime of the sensor node. While applying…

信息论 · 计算机科学 2018-11-21 Sheeraz A. Alvi , Xiangyun Zhou , Salman Durrani
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