This paper studies how to efficiently harvest energy and improve networkthroughput so that the narrowband user equipment has a longer life span instead of replacing batteries every few years to keep them working. To ...
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This paper studies how to efficiently harvest energy and improve networkthroughput so that the narrowband user equipment has a longer life span instead of replacing batteries every few years to keep them working. To harvest enough energy for spectrum sensing and data transmission, we propose a grouping-based network which also maximizes the networkthroughput. Initially, instead of sensing the spectrum, we first harvest the energy and then use this harvested energy for spectrum sensing and data transmission. The grouping is done in such a way that the users which are in closer proximity to the AP are considered a group. The devices which are out of the range of access point (AP) can harvest energy, but it is comparatively less than those devices which are grouped with AP. In such cases, they are grouped with the AP that is closer to them. The main aim is to escalate the amount of harvested energy and extend the life span of the devices to have as many successful data transmissions as possible. Since the devices use the spectrum allocated to primary users (Pu) for data transmissions and the devices can transmit data only when the PU's spectrum is free, the proposed model is beneficial for wireless body area networks where electronic health monitoring is one of the major applications.
In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area N...
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ISBN:
(纸本)9781665403085
In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area networks (OWPAN) standard draft. The underlying MAC protocol uses contention free and contention access periods. For a standard-compliant VLC network, we analyze the network load and propose an algorithm to improve the networkthroughput by proper selection of period lengths. Our suggested algorithm improves the network performance by at least 5% in the case of variable network traffic up to 15 active users.
Opportunistic underwater sensor networks (OUSNs) are deployed for various underwater applications, such as underwater creatures tracking and tactical surveillance. However, the storage capacity of the sensor nodes in ...
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Opportunistic underwater sensor networks (OUSNs) are deployed for various underwater applications, such as underwater creatures tracking and tactical surveillance. However, the storage capacity of the sensor nodes in such networks may be insufficient, especially when a wealth of data messages are generated rapidly in some emergency response applications. The message dissemination in OUSN5 therefore may differ significantly from those in wireless sensor networks or delay-tolerant networks, where networkthroughput should be taken as one of the primary objectives of network performance. To this end, the strategies for message storing, disseminating and discarding are investigated, and a Message Dissemination Approach for Storage-Limited (MDA-SL) OUSNs is proposed. In MDA-SL, the messages are preferred to be disseminated to the nodes with higher speed or larger residual storage. In addition, the copies of newer messages are inclined to be discarded when their message holders' storage is full. Simulation results demonstrate the excellent performance of MDA-SL showing that it can achieve satisfactory networkthroughput with propagation delay being restricted according to the diverse application requirements. (C) 2020 Elsevier B.V. All rights reserved.
Recently, degree-of-freedom (DoF)-based models have been widely used to study MIMO network performance. Existing DoF-based models differ in their interference cancellation (IC) behavior and many of them suffer from ei...
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Recently, degree-of-freedom (DoF)-based models have been widely used to study MIMO network performance. Existing DoF-based models differ in their interference cancellation (IC) behavior and many of them suffer from either loss of solution space or possible infeasible solutions. To overcome these limitations, a new DoF-based model, which employs an IC scheme based on node-ordering was proposed. In this paper, we apply this new DoF IC model to study a throughput maximization problem in a multihop MIMO network. The problem formulation involves joint consideration of flow routing and DoF allocation and falls in the form of a mixed-integer linear program (MILP). Our main contribution is an efficient polynomial time algorithm that offers a competitive solution to the MILP through a series of linear programs (LPs). The algorithm employs a sequential fixing framework to obtain an initial feasible solution and then improves the solution by exploiting: 1) the impact of node ordering on DoF consumption for IC at a node and 2) route diversity in the network. Simulation results show that the solutions obtained by our proposed algorithm are competitive and feasible.
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