Energy efficiency of some non-cooperative, cooperative and hybrid communication schemes in multi-relay WSNs

Kakitani, Marcos Tomio; Brante, Glauber; Souza, Richard Demo; Munaretto, Anelise; Imran, Muhammad Ali

doi:10.1007/s11276-013-0569-x

Cited by 5 publications

(4 citation statements)

References 32 publications

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“…Thus, two time slots are used for the multi-hop communication, which leads to the throughput reduction to more than half compared with the single-hop communication. The outage probability [33,41] of each link in a multi-hop scheme that is the same as cooperative and incremental cooperative schemes can be expressed by:…”

Section: Multi-hop Schemementioning

confidence: 99%

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Kim

2020

Applied Sciences

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In this paper, the eight schemes for aircraft wireless sensor networks are investigated, which are single-hop array beamforming schemes (including analog beamforming (ABF), and digital beamforming (DBF)), non-cooperative schemes (including single-hop and multi-hop schemes), cooperative schemes (including amplify and forward (AF), decode and forward (DF)), and incremental cooperative schemes (incremental decode and forward (IDF), and incremental amplify and forward (IAF)). To set up the aircraft wireless communication environment, we design the aircraft channel model by referring to the experimental parameters of the ITU (International Telecommunication Union)-R M.2283, which is composed of path loss, shadowing fading, and multi-path fading channel responses. To evaluate the performance, the conditions energy consumption and throughput analysis are performed. Through simulation results, the incremental cooperative scheme outperformed by 66.8% better at spectral efficiency 2 than the DBF scheme in terms of the energy consumption metric. Whereas, in terms of throughput metric, overall SNR (signal-to-noise ratio) ranged from −20 to 30 dB the beamforming scheme had the best performance in which the beamforming scheme at SNR 0 dB achieved 85.4% better than the multi-hop scheme. Finally, in terms of normalized throughput metric in low SNR range between −20 and 1 dB the ABF scheme had the best performance over the others in which the ABF at SNR 0 dB achieved 75.4% better than the multi-hop scheme. Whereas, in high SNR range between 2 and 30 dB the IDF scheme had the best performance in which the IDF at SNR 10 dB achieved 62.2% better than the multi-hop scheme.

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Section: Multi-hop Schemementioning

confidence: 99%

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Kim

2020

Applied Sciences

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“…When the collected data is transmitted from the common sensor node SN to the sensor node head SN ( +1)/2 , the data of the common sensor from the center to the right is decreasing. Following the process of formulas (5), (6), (7), and (8), the distance relationship of sensor node SN at the right of the cluster SNC can be obtained:…”

Section: Nodes Deployment In a Sncmentioning

confidence: 99%

“…Under the situation of limited resource and challenges, coverage routing controlling is the key to improving the performance of network resource [6]. It has been regarded as an effective method to attain network optimization, which can be divided into determinate coverage and random coverage according to whether wireless nodes can identify their locations [7,8]. As long-narrow structure is a kind of determinate environment, 2 Mathematical Problems in Engineering coverage routing can be designed based on monitoring requirements and topological structures [9].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency and QoS Enhancement for Wireless Sensor Networks with Applications to Long-Narrow Structures

Luo

Yang

et al. 2015

Mathematical Problems in Engineering

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There is a class of special environments, such as roads, mines tunnels, rivers, bridges, and pipelines, whose geographical shapes are long-narrow for several hundred meters. Wireless sensor networks (WSN) can be applied to monitor these environments. Long-narrow structure makes the WSN face plenty of challenges, such as unbalanced energy consumption and data aggregation. This paper proposes a nonuniform symmetric cluster model (NUSCM) using reasonable coverage routing controlling. The NUSCM consists of two base stations, sensor node clusters (SNCs) and transmission node clusters (TNCs), which can make the sensor networks be scalable to cover various long-narrow structures. Hierarchical nodes spacing and routing strategy of NUSCM are addressed. Furthermore, we simulate the proposed NUSCM, in comparison with the nonuniform deployment with two base stations (NUD-TBS) and uniform deployment with two base stations (UD-TBS). Research results indicate that the NUSCM and NUD-TBS have the same energy efficiency, which are better than that of UD-TBS. Moreover, NUSCM is superior to the UD-TBS and NUD-TBS in the link communication load and network survivability.

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“…(1) (2) where is the bit error rate (BER), is the transmission bit rate, and is the average SNR at each receive antenna. Here, we consider that the channel only experiences a square-law path loss, then (3) where is the average transmission power, is a parameter that depends on the transmitter, receiver antenna gains and the transmission wavelength, is the distance between the transmitter and the receiver, is the noise power spectral density [16].…”

Section: System Modelmentioning

confidence: 99%

Energy-efficient Routing in MIMO-based Mobile Ad hoc Networks with Multiplexing and Diversity Gains

2015

KSII TIIS

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It is critical to design energy-efficient routing protocols for battery-limited mobile ad hoc networks, especially in which the energy-consuming MIMO techniques are employed. However, there are several challenges in such a design: first, it is difficult to characterize the energy consumption of a MIMO-based link; second, without a careful design, the broadcasted RREP packets, which are used in most energy-efficient routing protocols, could flood over the networks, and the destination node cannot decide when to reply the communication request; third, due to node mobility and persistent channel degradation, the selected route paths would break down frequently and hence the protocol overhead is increased further. To address these issues, in this paper, a novel Greedy Energy-Efficient Routing (GEER) protocol is proposed: (a) a generalized energy consumption model for the MIMO-based link, considering the trade-off between multiplexing and diversity gains, is derived to minimize link energy consumption and obtain the optimal transmit model; (b) a simple greedy route discovery algorithm and a novel adaptive reply strategy are adopted to speed up path setup with a reduced establishment overhead; (c) a lightweight route maintenance mechanism is introduced to adaptively rebuild the broken links. Extensive simulation results show that, in comparison with the conventional solutions, the proposed GEER protocol can significantly reduce the energy consumption by up to 68.74%.

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Energy efficiency of some non-cooperative, cooperative and hybrid communication schemes in multi-relay WSNs

Cited by 5 publications

References 32 publications

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks

Energy Efficiency and QoS Enhancement for Wireless Sensor Networks with Applications to Long-Narrow Structures

Energy-efficient Routing in MIMO-based Mobile Ad hoc Networks with Multiplexing and Diversity Gains

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