Duty Cycle Adaptive Adjustment Based Device to Device (D2D) Communication Scheme for WSNs

Xiang, Xuemei; Liu, Wei; Xiong, Naixue; Song, Houbing; Liu, Anfeng; Wang, Tian

doi:10.1109/access.2018.2882918

Cited by 32 publications

(42 citation statements)

References 45 publications

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“…Therefore, the researchers proposed the duty cycle based on WSNs. 44,45 In such a network, the node will periodically undergo awake/sleep rotation. When the node is awake, it will be able to perform data operation, while there will be no communication during sleep.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, in order to reduce the energy consumption of nodes, extend lifetime as far as possible, a classic practice is to control the duty cycle of sensor nodes. 18,44,45 That is, the sensor node will be awake/sleep periodically. Since the energy consumed by the node in the sleep state is much less than the energy consumed in the awake state, energy saving is achieved.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive duty cycle control–based opportunistic routing scheme to reduce delay in cyber physical systems

Xiang

Liu

et al. 2019

International Journal of Distributed Sensor Networks

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Wireless sensor networks are the foundation of cyber physical systems. In loss and delay sensitive wireless sensor networks, there is much room for improving the performance of opportunistic routing scheme. In this article, an adaptive duty cycle control-based opportunistic routing scheme was put forward to improve the performance of the opportunistic routing scheme. Our main work is as follows: (a) the proposed duty cycle control-based opportunistic routing scheme implements the opportunistic routing in the duty cycle-based wireless sensor networks. Compared with the opportunistic routing scheme in the non-duty cycle mode, the duty cycle control-based opportunistic routing scheme can effectively reduce the energy consumption by 55.64%, although the performance in the delay is degraded. (b) Next, adaptive duty cycle control-based opportunistic routing scheme is proposed to reduce the delay of nodes in duty cycle control-based opportunistic routing. In adaptive duty cycle control-based opportunistic routing scheme, the node's duty cycle is increased in the area where the energy has remaining, so that the network delay can be reduced without reducing the network lifetime. Compared with duty cycle control-based opportunistic routing scheme, the maximum end-toend delay of the node in the network can be reduced by 69.83%.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive duty cycle control–based opportunistic routing scheme to reduce delay in cyber physical systems

Xiang

Liu

et al. 2019

International Journal of Distributed Sensor Networks

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“…Wireless Sensor Network (WSN) is an array of sensors with the capability of sensing and transmitting real-time data to the sink [1]. These sensors are battery-powered [2] and set up in a harsh terrain making it difficult or rather impossible to replace their batteries.…”

Section: Introductionmentioning

confidence: 99%

Queue and Priority-Aware Adaptive Duty Cycle Scheme for Energy Efficient Wireless Sensor Networks

et al. 2020

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In Wireless Sensor Networks (WSN), energy efficiency is a fundamental issue that requires attention in the design of communication protocols. Energy waste occurs as a result of collision and idle listening. The widely used mechanism for energy saving in WSN is duty cycling. Duty cycling coordinates the sleep/wake-up time of sensor nodes to maximize the network lifetime while achieving specific application goals such as high throughput or low latency. Most existing works focused more on static duty cycle, which cannot guarantee the desired end-to-end delay at varying network conditions. In applications with specified delay requirements, the duty cycle of every node should be adjusted separately at runtime depending on the network conditions to achieve the desired delay and energy efficiency. In this paper, we present an Energy Efficient and QoS-aware (EEQ) MAC protocol with a duty cycle scheme that adapts the node's duty cycle to the queue size and priority class of a packet to reduce the delay of high priority packets and support timebounded delivery of priority packets. By checking the queue size and the priority class of packets in the message queue of each node, the node determines whether or not to adjust its duty cycle. In this approach, a node increases the length of its active period in the event of high traffic which provides less waiting time for the packets in the queue. The sender node informs the receiver the duration for which it has to stay awake at the beginning of data transmission, both the sending and the receiver's duty cycle is controlled based on the queue length and the priority of the packets. This approach saves energy and lessen packet latency. Finally, extensive simulation experiments were conducted to evaluate its energy performance within different network topologies. Comparisons with the existing energy-aware MAC protocol verified the effect of EEQ on improving the energy efficiency and extending the lifespan of WSNs.

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“…And roadside smart devices (RSDs) refer to a large number of sensing devices with short-range wireless communication on the side of the road [7]- [10], [17]. The work of these sensing devices is monitoring events and sensing environmental features on the side of the road [18]- [21]. On the other hand, the main task of RSDs is to communicate with mobile vehicles to form a mobile vehicle network [2], [6]- [10], [17].…”

Section: Introductionmentioning

confidence: 99%

A Cost-Efficient Greedy Code Dissemination Scheme Through Vehicle to Sensing Devices (V2SD) Communication in Smart City

et al. 2019

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Recently, the vehicle-to-everything (V2X) paradigm is attracting more attention from both academia and industry. In the smart city, there are a huge number of roadside smart devices (RSDs) undertaking various sensing and monitoring tasks, and they collect information among V2X devices for various applications. With the software-defined technology applying into RSDs, one of the challenging issues is how to update the software of RSDs in a fast and low-cost way. We argue that recruiting a large number of vehicles to disseminate the update code for such RSDs through vehicle-to-sensing devices communications technology is an effective method. A cost-efficient greedy code mules selection scheme (CGCSS) is proposed to disseminate code to a huge number of RSDs in the smart city. In CGCSS, a task is defined as the process of transmitting the update code from the mobile code station (MCS) to RSD. So, the goal of CGCSS is to recruit an appropriate number of vehicles to finish the tasks with low cost and high coverage. A measure function is proposed to take the historical trajectories and cost into account. Therefore, the vehicles with high task completion possibility and low price will be selected as code mules (CMs). Then, a high-performance MCS deploy scheme (HMDS) is proposed to select the optimized MCS positions according to the movement and frequency of the CMs to optimize the performance of the system. Finally, extensive experiments using the real trajectory dataset have been done. The results show the better performance of CGCSS than the basic greedy code mule select scheme and the random code mules select scheme in terms of completion rate, average price, and cost-performance ratio, and the results confirm the validity of the proposed HMDS as well. INDEX TERMS Vehicle to everything, code dissemination, vehicles as code mules, recruit vehicles, low cost.

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Duty Cycle Adaptive Adjustment Based Device to Device (D2D) Communication Scheme for WSNs

Cited by 32 publications

References 45 publications

Adaptive duty cycle control–based opportunistic routing scheme to reduce delay in cyber physical systems

Adaptive duty cycle control–based opportunistic routing scheme to reduce delay in cyber physical systems

Queue and Priority-Aware Adaptive Duty Cycle Scheme for Energy Efficient Wireless Sensor Networks

A Cost-Efficient Greedy Code Dissemination Scheme Through Vehicle to Sensing Devices (V2SD) Communication in Smart City

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