An unequal redundancy level-based mechanism for reliable data collection in wireless sensor networks

Zhang, Qi; Liu, Anfeng

doi:10.1186/s13638-016-0754-6

Cited by 30 publications

(30 citation statements)

References 34 publications

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“…Generally, a large data transmission power can improve the link quality between nodes, which we validated in a network using a communication scheme named NCCC and found that a higher data transmission power could achieve a lower MFR; however, the energy consumption was increased [28]. Thus, there must be a tradeoff between the energy usage and reliability [26,27]. According Equation (18), this situation is discussed by Figure 2.…”

Section: Problem Statementmentioning

confidence: 95%

“…Meanwhile, in one round, the total number of bits that node v i needs to transmit depends on the data packets to be transmitted to the next hop, ζ D l,t l d ; the original data packets, ζ O l,b l o ; and the status messages to be broadcasted to other nodes in the same cluster, ζ S l,b l s . According to Equation (26), for a fixed data rate R b and a required packet loss probability p l , the energy consumption per bit is as…”

Section: Energy Consumption Of a Nodementioning

confidence: 99%

“…Wireless Sensor Networks (WSNs) has large numbers of sensor nodes, it has huge potential to solve military and civilian domains [24][25][26][27][28][29]. Portable devices usually operate on their own to solve a single or multiple signal processing tasks (such as communications) in a non-cooperative fashion.…”

Section: Introductionmentioning

confidence: 99%

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Reliability Improved Cooperative Communication over Wireless Sensor Networks

Chen

Liu

et al. 2017

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Abstract:With the development of smart devices and connection technologies, Wireless Sensor Networks (WSNs) are becoming increasingly intelligent. New or special functions can be obtained by receiving new versions of program codes to upgrade their software systems, forming the so-called smart Internet of Things (IoT). Due to the lossy property of wireless channels, data collection in WSNs still suffers from a long delay, high energy consumption, and many retransmissions. Thanks to wireless software-defined networks (WSDNs), software in sensors can now be updated to help them transmit data cooperatively, thereby achieving more reliable communication. In this paper, a Reliability Improved Cooperative Communication (RICC) data collection scheme is proposed to improve the reliability of random-network-coding-based cooperative communications in multi-hop relay WSNs without reducing the network lifetime. In WSNs, sensors in different positions can have different numbers of packets to handle, resulting in the unbalanced energy consumption of the network. In particular, nodes in non-hotspot areas have up to 90% of their original energy remaining when the network dies. To efficiently use the residual energy, in RICC, high data transmission power is adopted in non-hotspot areas to achieve a higher reliability at the cost of large energy consumption, and relatively low transmission power is adopted in hotspot areas to maintain the long network lifetime. Therefore, high reliability and a long network lifetime can be obtained simultaneously. The simulation results show that compared with other scheme, RICC can reduce the end-to-end Message Fail delivering Ratio (MFR) by 59.4%-62.8% under the same lifetime with a more balanced energy utilization.

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Section: Problem Statementmentioning

confidence: 95%

Section: Energy Consumption Of a Nodementioning

confidence: 99%

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Reliability Improved Cooperative Communication over Wireless Sensor Networks

Chen

Liu

et al. 2017

Symmetry

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“…WSNs, as key components of the Internet of Things [1][2][3], have wide range of military and civilian applications [4], [5] and enable us to achieve the dream of Smart City [6]. Sensor nodes are generally deployed in unattended and hostile environments where failures may usually occur due to various reasons, such as battery exhaustion, radio interference, or dislocation [7].…”

Section: Introductionmentioning

confidence: 99%

Movement-Assisted Connectivity Restoration Algorithm for Wireless Sensor Networks

Liu¹,

Zhang²

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-This Wireless sensor networks often suffer from fails or get damages. This may lead to network partitioning and thus hinder the fulfillment of the network applications. Therefore, it is critical to maintain the connectivity in applications of such networks. In this paper, we propose a movement-assisted connectivity restoration algorithm (MACRA) to achieve network connectivity restoration by using mobile nodes. Firstly, we design a rough connection recovery mechanism to obtain rough areas of sources and destinations for mobile nodes. The advantage of this scheme is to decrease computation complexity and achieve small connection distance and transmission delay. Secondly, we present an accurate connection recovery mechanism to achieve precise locations of sources and destinations for mobile nodes. The advantage of this scheme is to increase network invulnerability and reduce the probability of suffering from network partitioning again. The performance of MACRA is validated through simulation experiments.

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“…Industrial Internet of Things (IIoT) [1][2][3][4][5] as well as cloud computing [6][7][8][9][10] leverage the ubiquity of sensor-equipped devices such as smart portable devices, and smart sensor nodes to collect information at a low cost, providing a new paradigm for solving the complex sensing applications from the significant demands of critical infrastructure such as surveillance systems [11][12][13][14][15], remote patient…”

Section: Introductionmentioning

confidence: 99%

Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks

Zhao

Liu

et al. 2017

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Abstract:Transferring emergent target tracking data to sinks is a major challenge in the Industrial Internet of Things (IIoT), because inefficient data transmission can cause significant personnel and property loss. For tracking a constantly moving mobile target, sensing data should be delivered to sinks continuously and quickly. Although there is some related research, the end to end tracking delay is still unsatisfying. In this paper, we propose a Fast and Efficient Data Forwarding (FEDF) scheme for tracking mobile targets in sensor networks to reduce tracking delay and maintain a long lifetime. Innovations of the FEDF scheme that differ from traditional scheme are as follows: firstly, we propose a scheme to transmit sensing data through a Quickly Reacted Routing (QRR) path which can reduce delay efficiently. Duty cycles of most nodes on a QRR path are set to 1, so that sleep delay of most nodes turn 0. In this way, end to end delay can be reduced significantly. Secondly, we propose a perfect method to build QRR path and optimize it, which can make QRR path work more efficiently. Target sensing data routing scheme in this paper belongs to a kind of trail-based routing scheme, so as the target moves, the routing path becomes increasingly long, reducing the working efficiency. We propose a QRR path optimization algorithm, in which the ratio of the routing path length to the optimal path is maintained at a smaller constant in the worst case. Thirdly, it has a long lifetime. In FEDF scheme duty cycles of nodes near sink in a QRR path are the same as that in traditional scheme, but duty cycles of nodes in an energy-rich area are 1. Therefore, not only is the rest energy of network fully made use of, but also the network lifetime stays relatively long. Finally, comprehensive performance analysis shows that the FEDF scheme can realize an optimal end to end delay and energy utilization at the same time, reduce end to end delay by 87.4%, improve network energy utilization by 2.65%, and ensure that network lifetime is not less than previous research.

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An unequal redundancy level-based mechanism for reliable data collection in wireless sensor networks

Cited by 30 publications

References 34 publications

Reliability Improved Cooperative Communication over Wireless Sensor Networks

Reliability Improved Cooperative Communication over Wireless Sensor Networks

Movement-Assisted Connectivity Restoration Algorithm for Wireless Sensor Networks

Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks

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