A Study on Energy Efficient MAC Protocol of Wireless Sensor Network for Ubiquitous Agriculture

Lee, Ho-Chul; Lee, Ji-woong; Hwang, Jeong‐Hwan; Yoe, Hyun

doi:10.1007/978-3-642-17569-5_63

Cited by 11 publications

(8 citation statements)

References 7 publications

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“…Since the existing WSN MAC protocols [1][2][3][4][5][6][7][8][9][13][14][15][16][17][18][19][20][21][22][23][24][25] proposed so far assume sensor nodes with only a general RF communication module, there have been no studies for a MAC protocol that can efficiently utilize the RF wakeup sensor. Therefore, our previous work 12 investigates the design space for a MAC protocol that can maximize the benefit from the around-the-clock carrier sensing of the RF wakeup sensor and proposes an ondemand MAC protocol called ZeroMAC that is the first MAC protocol using radio wave sensor.…”

Section: Introductionmentioning

confidence: 99%

ZeroMAC: Toward a zero sleep delay and zero idle listening media access control protocol with ultralow power radio frequency wakeup sensor

Lee

Choi

2017

International Journal of Distributed Sensor Networks

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In wireless sensor networks, duty cycling has been an imperative choice to reduce idle listening but it introduces sleep delay. To break through the energy-latency tradeoff, we propose a pair of a radio wave sensor called radio frequency wakeup sensor and an on-demand media access control protocol called ZeroMAC. Radio frequency wakeup sensor is dedicated to sense the presence of a signal. The distinctive feature is that the sensor can provide the same sensitivity while it consumes only two orders of magnitude less energy than the underlying radio frequency module. With the sensor, a node no longer requires duty cycling. We also propose an on-demand media access control protocol called ZeroMAC that can effectively utilize the on-demand wakeup functionality of a radio frequency wakeup sensor by broadcasting a dedicated signal to wake up nodes before starting a communication. Since each node can notify neighbor nodes of a communication immediately, ZeroMAC can eliminate both idle listening and sleep delay. ZeroMAC wakes up only the nodes on the communication path by propagating wakeup signals in a hop-by-hop manner, avoiding unnecessary signal flooding. To further save energy, ZeroMAC can turn off radio frequency module as soon as it detects the end of communication. According to packet level simulation results, ZeroMAC can deliver data packets at least 1.87 times faster by eliminating both idle listening and sleep delay while it consumes only 3% of the energy compared to X-MAC and A-MAC.

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Section: Introductionmentioning

confidence: 99%

ZeroMAC: Toward a zero sleep delay and zero idle listening media access control protocol with ultralow power radio frequency wakeup sensor

Lee

Choi

2017

International Journal of Distributed Sensor Networks

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“…Current research in wireless sensor networks (WSN) mainly focus on data fusion, routing protocol, topology control, and medium access control (MAC) layer protocols [1,2]. The main objective is to reduce the energy consumption of the sensor network, increase throughput, and reduce the data transmission delay.…”

Section: Introductionmentioning

confidence: 99%

An adaptive traffic MAC protocol based on correlation of nodes

Wang

2015

J Wireless Com Network

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EA-MAC protocol is proposed on the basis of SMAC protocol to remedy the shortcomings of SMAC. In the EA-MAC, node correlation analysis algorithm and traffic adaptive duty cycle mechanism are added. Meanwhile, the residual energy is introduced into the existing traffic adaptive back-off mechanism to measure the saving efficiency. In the node correlation algorithm, all network nodes are divided into several areas by computing node correlation according to the collected information. The clustering mechanism is applied for choosing representative node in each area for transmitting data. This method can effectively reduce redundant nodes transmitting duplicate data. In traffic adaptive duty cycle mechanism, the duty cycle is regulated dynamically to decrease idle listening by comparing the threshold set with the flow value obtained from the predict flow model. In back-off mechanisms, by adjusting the value of contention window and back-off time, data collisions can be effectively avoided when network traffic is heavy. In addition, nodes with more remaining energy have priority to access the channel and have shorter back-off time, which can keep the balance of the whole network energy consumption and lengthen network lifetime. Simulation results show that the EA-MAC protocol has better energy saving, throughput, shorter delay performance, and low packet loss rate than that of SMAC protocol in dynamic traffic sensor networks.

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“…Among them, precision agriculture is known as a solution for effectively mitigating the problems of food shortage and environmental pollution because it can manage the variability in crop yields by maximizing the production and profitability while minimizing the risk. Many researchers have paid increasing attention to the applicability of WSNs to precision agriculture [5][6][7][8][9][10] owing to such a potential benefit. In addition, most of the existing works focused on the development of routing and medium access protocols for monitoring and controlling the agricultural environment [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Many researchers have paid increasing attention to the applicability of WSNs to precision agriculture [5][6][7][8][9][10] owing to such a potential benefit. In addition, most of the existing works focused on the development of routing and medium access protocols for monitoring and controlling the agricultural environment [9,10].…”

Section: Introductionmentioning

confidence: 99%

Agriculture Sensor-Cloud Infrastructure and Routing Protocol in the Physical Sensor Network Layer

Kim¹,

Lee

Yoo

et al. 2014

International Journal of Distributed Sensor Networks

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Nowadays, wireless sensor networks (WSNs) are used in a variety of areas. However, it is difficult to efficiently manage a large number of sensor nodes and their sensing data owing to the limitations of WSNs. Particularly, in agricultural applications, a WSN installed in a specific region is used for multiple services (i.e., greenhouse environment monitoring and control). However, the network resources (i.e., channel, battery, etc.) are currently being utilized for redundant operations requested from multiple service users owing to the lack of an efficient system for managing large WSN data. In this paper, we propose an agriculture sensor-cloud infrastructure (ASCI) to effectively provide various agricultural services using WSNs. In addition, we propose hierarchical source routing (HSR), aggregation gradient routing (AGR), and a priority-based data transmission technique in order to allow packets to be delivered to the destination fast and reliably in large-scale WSNs.

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A Study on Energy Efficient MAC Protocol of Wireless Sensor Network for Ubiquitous Agriculture

Cited by 11 publications

References 7 publications

ZeroMAC: Toward a zero sleep delay and zero idle listening media access control protocol with ultralow power radio frequency wakeup sensor

ZeroMAC: Toward a zero sleep delay and zero idle listening media access control protocol with ultralow power radio frequency wakeup sensor

An adaptive traffic MAC protocol based on correlation of nodes

Agriculture Sensor-Cloud Infrastructure and Routing Protocol in the Physical Sensor Network Layer

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