Simple Contending-type MAC Scheme for Wireless Passive Sensor Networks : Throughput Analysis and Optimization

Park, Jinkyung; Seo, Heewon; Choi, Cheon Won

doi:10.5573/ieiespc.2017.6.4.299

Cited by 2 publications

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“…Recently, radio frequency (RF) energy harvesting technologies provided us with a new paradigm for wireless sensor networks [6,7,8]. These technologies are mainly divided into two categories: a category of technologies which enable sensor nodes to harvest energy by scavenging ambient RF waves and the other category of technologies which designate external RF sources to supply energy to sensor nodes by radiating RF waves.…”

Section: Introductionmentioning

confidence: 99%

Basic MAC Scheme for RF Energy Harvesting Wireless Sensor Networks: Throughput Analysis and Optimization

Choi

2019

Sensors

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Traditionally, how to reduce energy consumption has been an issue of utmost importance in wireless sensor networks. Recently, radio frequency (RF) energy harvesting technologies, which scavenge the ambient RF waves, provided us with a new paradigm for such networks. Without replacement or recharge of batteries, an RF energy harvesting wireless sensor network may live an eternal life. Against theoretical expectations, however, energy is scarce in practice and, consequently, structural naiveté has to be within a MAC scheme that supports a sensor node to deliver its data to a sink node. Our practical choice for the MAC scheme is a basic one, rooted in ALOHA, in which a sensor node simply repeats harvesting energy, backing off for a while and transmitting a packet. The basic medium access control (MAC) scheme is not able to perfectly prevent a collision of packets, which in turn deteriorates the throughput. Thus, we derive an exact expression of the throughput that the basic MAC scheme can attain. In various case studies, we then look for a way to enhance the throughput. Using the throughput formula, we reveal that an optimal back-off time, which maximizes the total throughput, is not characterized by the distribution but only by the mean value when the harvest times are deterministic. Also, we confirm that taking proper back-off times is able to improve the throughput even when the harvest times are random. Furthermore, we show that shaping the back-off time so that its variance is increased while its mean remains unchanged can help ameliorate the throughput that the basic MAC scheme is able to achieve.

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Section: Introductionmentioning

confidence: 99%

Basic MAC Scheme for RF Energy Harvesting Wireless Sensor Networks: Throughput Analysis and Optimization

Choi

2019

Sensors

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“…As enhancements of devices’ capabilities to record and play video continue to progress, demands to cope with the mobile multimedia data traffic also increase [ 1 , 2 , 3 ]. The demands have affected not only the cellular networks, but also sensor networks.…”

Section: Introductionmentioning

confidence: 99%

Fractional Frequency Reuse Scheme for Device to Device Communication Underlaying Cellular on Wireless Multimedia Sensor Networks

Kim

Noh

et al. 2018

Sensors

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Wireless multimedia sensor networks (WMSNs) have been improved with the increase of multimedia data. In WMSNs, a centralization problem can occur because of large-size multimedia data. It is necessary to consider device-to-device (D2D) communication. We focus on D2D WMSN based on cellular networks. Sensors in the D2D WMSN can non-orthogonally use a cellular link, which is a wireless communication channel between a sensor and an aggregator, and a D2D link, which is the channel between sensors. As a result, it has more complex interference environments than an ordinary system. Therefore, it is a key factor to manage the varying inter-cell interference effectively for throughput improvement. We propose an interference mitigation scheme that can be applied to D2D WMSN. In the proposed scheme, a cell is separated into six zones and orthogonal frequency is allocated to each zone for cellular links. The frequencies allocated to cellular links are reused by D2D links of neighboring zones. The simulation results show that the throughput of the proposed scheme increases two times compared to a static frequency allocation scheme.

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Simple Contending-type MAC Scheme for Wireless Passive Sensor Networks : Throughput Analysis and Optimization

Cited by 2 publications

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Basic MAC Scheme for RF Energy Harvesting Wireless Sensor Networks: Throughput Analysis and Optimization

Basic MAC Scheme for RF Energy Harvesting Wireless Sensor Networks: Throughput Analysis and Optimization

Fractional Frequency Reuse Scheme for Device to Device Communication Underlaying Cellular on Wireless Multimedia Sensor Networks

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