Description: A Survey of Spectrum Sensing Algorithms The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given. Platform: |
Size: 453502 |
Author:chenpeng3361 |
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Description: 讲述了无线传感器网络中协作分集的性能,对做协作通信肯定有帮助。-research on cooperation transmission and performance in wireless sensor network,it is help for doing cooperative communication Platform: |
Size: 642048 |
Author:小红 |
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Description: To eectively combat multipath fading across multiple protocol layers in wireless networks,
this dissertation develops energy-ecient algorithms that employ certain kinds of cooperation
among terminals, and illustrates how one might incorporate these algorithms into
various network architectures. In these techniques, sets of terminals relay signals for each
other to create a virtual antenna array, trading o the costs|in power, bandwidth, and
complexity|for the greater benets gained by exploiting spatial diversity in the channel.
By contrast, classical network architectures only employ point-to-point transmission and
thus forego these benets. Platform: |
Size: 818176 |
Author:陈鹏 |
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Description: The spectrum sensing problem has gained new
aspects with cognitive radio and opportunistic spectrum access
concepts. It is one of the most challenging issues in cognitive
radio systems. In this paper, a survey of spectrum sensing
methodologies for cognitive radio is presented. Various aspects
of spectrum sensing problem are studied from a cognitive radio
perspective and multi-dimensional spectrum sensing concept is
introduced. Challenges associated with spectrum sensing are
given and enabling spectrum sensing methods are reviewed.
The paper explains the cooperative sensing concept and its
various forms. External sensing algorithms and other alternative
sensing methods are discussed. Furthermore, statistical modeling
of network traffic and utilization of these models for prediction
of primary user behavior is studied. Finally, sensing features of
some current wireless standards are given. Platform: |
Size: 456704 |
Author:Deepesh |
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Description: Energy efficiency is the most important design goal
for wireless sensor networks (WSNs). In this paper, we propose
an energy-efficient cooperative MIMO scheme, which
combines energy-efficient LEACH (EE-LEACH) protocol and
cooperative MIMO. We name it as EE-LEACH-MIMO
scheme. EE-LEACH is an improved LEACH algorithm, in
which the network is partitioned to sectors with equal angle for
avoiding the distribution non-uniformity of cluster heads. In
EE-LEACH-MIMO scheme, the location and the residual
energy of each node are considered when the cluster heads for
clustering and cooperative nodes for MIMO system are chosen.
For comparisons, LEACH, EE-LEACH, the simple
cooperative scheme with LEACH and MIMO (LEACHMIMO),
and EE-LEACH-MIMO scheme are simulated. The
result shows that EE-LEACH-MIMO scheme can well balance
the network load, save energy and prolong the network
lifetime Platform: |
Size: 2048 |
Author:龙飞天涯268 |
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Description: Energy efficiency is the most important design goal
for wireless sensor networks (WSNs). In this paper, we propose
an energy-efficient cooperative MIMO scheme, which
combines energy-efficient LEACH (EE-LEACH) protocol and
cooperative MIMO. We name it as EE-LEACH-MIMO
scheme. EE-LEACH is an improved LEACH algorithm, in
which the network is partitioned to sectors with equal angle for
avoiding the distribution non-uniformity of cluster heads. In
EE-LEACH-MIMO scheme, the location and the residual
energy of each node are considered when the cluster heads for
clustering and cooperative nodes for MIMO system are chosen.
For comparisons, LEACH, EE-LEACH, the simple
cooperative scheme with LEACH and MIMO (LEACHMIMO),
and EE-LEACH-MIMO scheme are simulated. The
result shows that EE-LEACH-MIMO scheme can well balance
the network load, save energy and prolong the network
lifetime Platform: |
Size: 2048 |
Author:龙飞天涯268 |
Hits:
Description: Energy efficiency is the most important design goal
for wireless sensor networks (WSNs). In this paper, we propose
an energy-efficient cooperative MIMO scheme, which
combines energy-efficient LEACH (EE-LEACH) protocol and
cooperative MIMO. We name it as EE-LEACH-MIMO
scheme. EE-LEACH is an improved LEACH algorithm, in
which the network is partitioned to sectors with equal angle for
avoiding the distribution non-uniformity of cluster heads. In
EE-LEACH-MIMO scheme, the location and the residual
energy of each node are considered when the cluster heads for
clustering and cooperative nodes for MIMO system are chosen.
For comparisons, LEACH, EE-LEACH, the simple
cooperative scheme with LEACH and MIMO (LEACHMIMO),
and EE-LEACH-MIMO scheme are simulated. The
result shows that EE-LEACH-MIMO scheme can well balance
the network load, save energy and prolong the network
lifetime Platform: |
Size: 18432 |
Author:龙飞天涯268 |
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Description: thesis about cooperative localization in wireless sensor network , very beneficial in this field Platform: |
Size: 2968576 |
Author:Hadeel |
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Description: Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network. Platform: |
Size: 1106548 |
Author:atrakpc@yahoo.com |
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