Reliable Cooperative Communications Based on Random Network Coding in Multi-Hop Relay WSNs

Liu, Xingcheng; Gong, Xinren; Zheng, Yongzhao

doi:10.1109/jsen.2014.2310899

Cited by 32 publications

(34 citation statements)

References 15 publications

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“…In NCCC, which employs equal transmission power throughout the whole network [31], there is much remaining energy in the region far from the sink node (see Figure 3, which shows the experimental result in Section 6) due to the impact of the energy hole. We are inspired to adopt unequal transmission powers in different places in the network; more specifically, a higher transmission power is used in the area where much energy remains.…”

Section: Observationmentioning

confidence: 91%

“…When source node in the source cluster transmit data packet to the next cluster, which is called the transitional cluster. Then the data packet is transmitted by the transitional cluster using the same way until this packet is transmitted to the destination cluster [31], which contains the sink node.…”

Section: Data Transmission Modelmentioning

confidence: 99%

“…where v new and C new are the coding vector and coded data of the new coded packet, respectively [31]. (3) Destination Cluster routing stage.…”

Section: Data Transmission Modelmentioning

confidence: 99%

“…All the status messages are stored in a TransQueue queue. After this process, all the functioning nodes' IDs are restored in the TransQueue queue [31].…”

Section: Data Transmission Modelmentioning

confidence: 99%

“…Portable devices usually operate on their own to solve a single or multiple signal processing tasks (such as communications) in a non-cooperative fashion. Having the ability to achieve superior performance without a dedicated and power-hungry central device, distributed and cooperative processing techniques over WSNs have received much attention [28,30,31]. Recently, multi-input-multi-output (MIMO) systems has higher promising to improve transmission …”

Section: Introductionmentioning

confidence: 99%

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Reliability Improved Cooperative Communication over Wireless Sensor Networks

Chen

Liu

et al. 2017

Symmetry

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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: Observationmentioning

confidence: 91%

Section: Data Transmission Modelmentioning

confidence: 99%

“…where v new and C new are the coding vector and coded data of the new coded packet, respectively [31]. (3) Destination Cluster routing stage.…”

Section: Data Transmission Modelmentioning

confidence: 99%

“…All the status messages are stored in a TransQueue queue. After this process, all the functioning nodes' IDs are restored in the TransQueue queue [31].…”

Section: Data Transmission Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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