An adaptive traffic MAC protocol based on correlation of nodes

Xu, Donghong; Wang, Ke

doi:10.1186/s13638-015-0488-x

Cited by 20 publications

(19 citation statements)

References 30 publications

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“…Dynamic S-MAC adjusts the frame length depending on the traffic status on the network in order to enhance S-MAC's energy consumption [15]. EA-MAC adds the node correlation analysis algorithm and traffic-adaptive duty cycle mechanism to make up for the disadvantages of S-MAC [16]. Kim and Ryoo et al [17,18] propose a method that maximizes the entire system's energy life span in consideration of the fact that smart sensor nodes near the sink node consumes more energy than those far from it.…”

Section: Introductionmentioning

confidence: 99%

A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

Sun

Ryoo

2018

Informatics

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Abstract:When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node Group Management Medium Access Control Scheme designed to group smart sensor devices and collect data from them efficiently. The proposed scheme performs grouping of portable sensor devices connected to a system depending on the distance from the sink node and transmits data by setting different buffer thresholds to each group. This method reduces energy consumption of sensor devices located near the sink node and enhances the IoT system's general energy efficiency. When a sensor device is moved and, thus, becomes unable to transmit data, it is allocated to a new group so that it can continue transmitting data to the sink node.

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Section: Introductionmentioning

confidence: 99%

A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

Sun

Ryoo

2018

Informatics

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“…As shown in Figure 5, the maximum distance of the node to the 6 S Delaunay neighbor nodes 2 S , 4 S , 5 S , 7 S , and 9 S is 5 6 S S and S 5 6 R S S  , so 6 S is distinguished as the redundant node.…”

Section: Distinguish the Redundant Nodesmentioning

confidence: 99%

“…In the aspect of redundant node algorithm, Nicolas D. Georganas proposed a "qualified sleep criterion" for random delay messages to make the redundant nodes dormant, (COBS) algorithm [7][8], as shown in Figure 4 COBS algorithm makes use of a random delay of the multi round selection mechanism, and in each round, all nodes in the network need to determine whether it is a redundant node and whether it can be dormant. As shown in Figure 4, the node has a total of four states, that is, ready-on-duty (preparatory work), on-duty (work), ready-to-off and off-duty.…”

Section: Problem Of Redundant Coverage and Related Algorithmsmentioning

confidence: 99%

Research on Energy-saving Algorithm of Wireless Sensor Network

Wen¹

2017

dtcse

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In wireless sensor networks, the nodes around the base station have higher energy consumption due to the forwarding task of all the detected data. In order to balance the energy consumption of the nodes around the base station, this paper proposed a reasonable and effective mechanism of node rotation dormancy. In this way, a large number of redundant nodes in the network are in a dormant state, so as to reduce the load of important nodes around the base station. In this paper, we analyzed the problem of the redundant nodes in the sensor network, and proposed a new method to distinguish the redundant nodes based on local Delaunay triangulation and multi node election dormancy mechanism. The experimental results showed that this method could effectively distinguish the redundant nodes in the network; at the same time, through the multi round election mechanism, we make part of redundant nodes dormant and reduce the network energy consumption on the condition of guaranteeing the original coverage.

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“…In 2015, Donghong Xu and Ke Wang, et al in proposed EA-MAC, an adaptive traffic aware MAC protocol based on correlation of nodes [13]. They also made duty cycle adaptive based on the bases of predicted flow on the node.…”

Section: Listen Timementioning

confidence: 99%

MAC Protocol with Regression based Dynamic Duty Cycle Feature for Mission Critical Applications in WSN

Sakya¹,

Sharma²

2017

ijacsa

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Abstract-Wireless sensor networks demand energy efficient and application specific medium access control protocol when deployed in critical areas which are not frequently accessible. In such areas, the residual energy of nodes also become important along with the efficient data delivery. Many techniques using adaptive duty cycle approach are suggested by researchers to improve the data delivery performance of protocols. As low duty cycle introduces delay and high duty cycle causes energy losses in the network so duty cycle adaptation according to the distribution of nodes near event occurring area, traffic behaviour and remaining energy of the nodes may be done for energy saving as well as efficient data delivery performance. After analysing the S-MAC protocol performance in critical scenarios for the residual energy, throughput and packet delivery ratio, this paper suggests an improved mission critical MAC protocol called MC-MAC which uses novel regression based adaptive duty cycle approach. The duty cycle is given by the regression pattern of traffic while considering the performance of SMAC protocol for residual energy, throughput and packet delivery ratio. The analytical model of MC-MAC protocol is given accordingly and the performance analysis shows that the proposed MC-MAC protocol saves 40% energy of whole network and also 20% energy of the critical nodes in the mission critical path till base station, as compared to SMAC protocol. Very few improved MAC protocols provide mechanism to save the residual energy of critical nodes and hence to improve the lifetime of critical path. As MC-MAC protocol considers the throughput and packets delivery ratio (also along with residual energy) for calculating the regression formula for duty cycle based on traffic, so it is better than other critical MAC protocols which does trade-off of energy with throughput and packet delivery ratio.

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An adaptive traffic MAC protocol based on correlation of nodes

Cited by 20 publications

References 30 publications

A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

Research on Energy-saving Algorithm of Wireless Sensor Network

MAC Protocol with Regression based Dynamic Duty Cycle Feature for Mission Critical Applications in WSN

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