Energy-aware MAC protocol for data differentiated services in sensor-cloud computing

Liu, Shun; Huang, Guosheng; Gui, Jinsong; Wang, Tian; Li, Xiong

doi:10.1186/s13677-020-00196-5

Cited by 22 publications

(9 citation statements)

References 58 publications

(89 reference statements)

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“…From figure 2 it is clear that the ordinary sensor node sends the first beacon message at time T(1,1) to the sensor node which is within the communication range of the sensor node and this massage is received by the sensor node at Time T (2,1), after this, ordinary sensor node sends back the acknowledgment message to the node sensor node at time T(3, 1) which is received at T (4,1). Also, node j receives the beacon message from the node ordinary node at time T (5,1) and sends back an acknowledgment message to the ordinary node at time T (6,1) which is received by node j at time T (7,1). Furthermore, node j will get the beacon message from the anchor node j-1 at time T(8, 1) which was actually sent by node j, and as a reply, node anchor node give the acknowledgment message at time T(9, 1) which is received by j at time T (10,1).…”

Section: Synchronization In Multi-hop Uwsnsmentioning

confidence: 99%

“…Indoor localization in hospitals by using an angle of arrival (AOA) has been performed by [4]. A time synchronization algorithm based on dynamic routing and forwarding certification (DRFC-TSP) is given by [5] also, energy-aware MAC protocol in a WSN is given by [6]. But maintaining the energy in a multi-hop environment is always been a major challenge for researchers in both WSNs and UWSNs.…”

Section: Introductionmentioning

confidence: 99%

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Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

et al. 2021

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In this study, an effort to synchronize and localize the underwater sensors simultaneously in a multi-hop environment is considered. Underwater Sensor Networks" (UWSNs) has limited range and connectivity due to propagation delay and limited bandwidth. By using a multi-hop environment, we can extend the range and enhancing the network connectivity for providing more accurate localization and synchronization technique. We have established a connection between sensors point to point directed links and then analytically construct the model for the synchronization as a function of range, delay, and timestamps. Secondly, we have formulated the unconstrained optimization problem for localization by using a gradient technique. The proposed research scheme first synchronizes and then localizes the unknown nodes with known depth by using the single anchor node in a multi-hop scenario. According to the literature survey, this joint effort has never been addressed before; both localization and time synchronization for multi-hop scenarios are addressed separately. The proposed algorithm will also calculate the propagation delay that will be generated during message propagation for both localization and time synchronization. The numerical results are compared with some well-known techniques in terms of the number of nodes, localization error, synchronization error, total processing time up to four hops. Experimental results show that the proposed model outperforms in terms of localization and synchronization accuracy, but since this work has never been done before therefore, we compare our results with the techniques that had separately address this problem having some constraints.

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Section: Synchronization In Multi-hop Uwsnsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

et al. 2021

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“…1 Due to abundant devices connected to the edge network, the total amount of computing and storage is very huge, which makes the focus of the network shift from the cloud to the edge of the network, forming the edge network and edge computing model gradually. [33][34][35] With the development of artificial intelligence, it is possible to dig up rich knowledge from the big data perceived by the collaborative work of sensor devices, thereby bringing human life great changes. 36 However, the basis of collaborative work of multisensor systems is the effective communication mechanism between the nodes.…”

Section: Related Workmentioning

confidence: 99%

Parameter analysis and optimization of polling-based medium access control protocol for multi-sensor communication

Guo

Wang

et al. 2021

International Journal of Distributed Sensor Networks

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In this article, a comprehensive parameter analysis for the polling-based medium access control protocol is executed. The theoretical expressions of the relationship between network parameters and performance including delay and energy consumption are given for the first time. The specific conclusions in this article are as follows: (1) awake duration is the parameter that has the greatest impact on delay and energy consumption. Increasing the duty cycle (awake duration) will effectively reduce the delay, but will also increase the energy consumption within a certain range; (2) increasing polling duration can reduce the delay, but it will also increase the energy consumption; and (3) more forwarding nodes cause a smaller delay, and it can save the energy with modest increase of delay by reducing the polling duration. An adaptive parameter optimization polling-based medium access control protocol is proposed to optimize network performance. In this protocol, the residual energy gets fully used to increase awake duration and polling duration, which makes the delay smaller, and the network maintains a long lifetime meanwhile. Based on the results of the analysis, the adaptive parameter optimization polling-based medium access control protocol proposed in this article reduces the delay by 22.40% and increases the energy efficiency by 23.25%.

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“…Therefore, many sensing devices are increasingly being deployed in various applications to sense and obtain data [12]- [14], making edge computing, fog computing and other emerging computing models fully developed [15]- [17]. Compared with cloud computing [18], IoT devices with weak computing power can offload tasks to edge servers [19]- [21], making more applications more dependent on IoT devices for sensing and obtaining data [22]- [24]. Among them, Wireless Sensor Networks (WSNs) are the earliest researched networks [25]- [27].…”

Section: Introductionmentioning

confidence: 99%

“…In general, sensor nodes are difficult to replace and recharge once deployed [13], [16]. Therefore, how to be energy efficient in various applications of WSNs is an important research issue [22], [24], [26]. The largest energy consumption of WSNs is the consumption of data transmission by nodes, so the most effective means to reduce energy consumption is to reduce the amount of data that needs to be transmitted [33]- [35].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Data Aggregation Scheme Based on Differentiated Threshold Configuring Joint Optimal Relay Selection in WSNs

Liu

Zeng

et al. 2021

IEEE Access

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In Wireless Sensor Networks (WSNs), when multiple data packets meet during routing to the sink, redundant data can be removed through data fusion, thereby reducing the amount of data transmitted, and increasing the life of the network. However, how to increase the data fusion rate as much as possible and ensure that the delay is lower than the deadline is a challenge issue. To solve this problem, a Differentiated Threshold Configuring joint Optimal Relay Selection based Data Aggregation (DTC-ORS-DA) scheme is proposed, which can significantly reduce redundant data routing and guarantee the delay for WSN. The main innovation is as follow: (1) In DTC-ORS-DA scheme, there are two thresholds: data volume threshold and time threshold. Data routing can only be performed when or of the node meet the threshold requirements, so that the data can be fully integrated to minimize the amount of data to be transmitted. More importantly, DTC-ORS-DA adopts differentiated threshold settings based on the characteristics of unbalanced energy consumption in WSNs, and sets a smaller threshold in the far sink area with sufficient energy, so that data packets can be routed quickly. And the near sink area where the energy is tight uses a larger threshold to maximize data fusion, so that the combination can make the data fusion high, the energy is effectively used, and the delay is small. (2) We propose a priority-based relay selection algorithm, which enables child nodes to dynamically select the parent node with the highest priority based on the number of data packets, waiting time, and remaining energy. In the process of routing, the probability of nodes with many data packets or long waiting time being selected as transmission relay is high, which can either increase the data fusion rate or reduce the delay. Finally, the performance comparison with Common data collection Scheme (CS) proves that, the DTC-ORS-DA scheme reduces the average delay by 10.74%-19.91%, increases the life cycle by 9.81% at most, and the energy utilization rate is increased by 6.67%-9.48%.

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Energy-aware MAC protocol for data differentiated services in sensor-cloud computing

Cited by 22 publications

References 58 publications

Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

Joint Algorithm for Multi-Hop Localization and Time Synchronization in Underwater Sensors Networks Using Single Anchor

Parameter analysis and optimization of polling-based medium access control protocol for multi-sensor communication

An Efficient Data Aggregation Scheme Based on Differentiated Threshold Configuring Joint Optimal Relay Selection in WSNs

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