Dynamic channel assignment for wireless sensor networks: A regret matching based approach

Chen, Jiming; Q, Yu; Chai, Bo; Sun, Youxian; Fan, Yanfei; Shen, Xuemin

doi:10.1109/tpds.2014.2307868

Cited by 73 publications

(29 citation statements)

References 33 publications

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“…In the case of multiple sources, one may use dynamic channel assignment [17] or channel allocation [18] in the first hop to increase energy efficiency further, which could be a future research topic. Also, reference [19] proposed a selfenergy recycling scheme by using an additional antenna at the relay to harvest the signal transmitted by the relay.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

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AF Relaying with Energy Harvesting Source and Relay

Chen

Shi

Feng

et al. 2016

IEEE Trans. Veh. Technol.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

“…Then, by using f (γ d ) and f (γ r ) in (17), solving the inner integral of the second term in (17) and letting t = P s γ r − x, the outage probability is derived as…”

Section: A Tsmentioning

confidence: 99%

AF Relaying with Energy Harvesting Source and Relay

Chen

Shi

Feng

et al. 2016

IEEE Trans. Veh. Technol.

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“…We compare our channel assignment method CA, subnetwork isolation method SI, and upper bound ANA [see (2)] against the following three methods: 1) DIS, in which each subnetwork chooses the idle channels to use when it starts to run; (2) ILP, in which the integer linear programming (ILP) solver CPLEX is used to find the optimal solution; and (3) T2C-A, which denotes the channel assignment method in the T 2 C network protocol [37]. Some other recent works of channel assignment (e.g., [38] and [39]) were aimed at reducing communication interference but did not isolate nodes (or subnetworks). Thus, we chose [37] for the comparison.…”

Section: A Simulationmentioning

confidence: 99%

A Hierarchical Data Transmission Framework for Industrial Wireless Sensor and Actuator Networks

Jin

Kong

et al. 2017

IEEE Trans. Ind. Inf.

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Abstract-A smart factory generates vast amounts of data that require transmission via large-scale wireless networks. Thus, the reliability and real-time performance of large-scale wireless networks are essential for industrial production. A distributed data transmission scheme is suitable for large-scale networks, but is incapable of optimizing performance. By contrast, a centralized scheme relies on knowledge of global information and is hindered by scalability issues. To overcome these limitations, a hybrid scheme is needed. We propose a hierarchical data transmission framework that integrates the advantages of these schemes and makes a tradeoff among real-time performance, reliability, and scalability. The top level performs coarse-grained management to improve scalability and reliability by coordinating communication resources among subnetworks. The bottom level performs fine-grained management in each subnetwork, for which we propose an intrasubnetwork centralized scheduling algorithm to schedule periodic and aperiodic flows. We conduct both extensive simulations and realistic testbed experiments. The results indicate that our method has better schedulability and reduces packet loss by up to 22% relative to existing methods.

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“…However, most WSNs are generally densely deployed for the following reasons: 1) co-existence of multiple WSN applications in the same geographical region [26]; 2) costly and difficult deployment process of cheap sensor nodes due to unsafe nature of the area of interest; and 3) small sensing range compared to communication range. Therefore, in most situations, we are in a position to apply our approach to exploit the dense deployment of the nodes in WSNs.…”

Section: E Optimum Value Of Kmentioning

confidence: 99%

A Novel Framework to Enhance the Performance of Contention-Based Synchronous MAC Protocols

2016

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In this paper, We propose a novel framework to improve the end-to-end transmission delay (E2ETD) and packet delivery ratio (PDR) of existing contention based synchronous MAC protocols designed for wireless sensor networks, without increasing the duty cycle (DC). This is achieved by partitioning the n deployed sensor nodes into k disjoint sets (DSs) which are of almost equal size. It then suitably modifies the cycle structure followed by the existing contention based synchronous MAC protocols by mapping the data transmission process of k existing cycles into one restructured cycle. To evaluate the performance of this approach, we implement RMAC, PRMAC, and CLMAC protocols in the proposed framework using ns2.35 simulator. Results indicate that our scalable framework reduces the E2ETD and increases the PDR significantly at the cost of a very small increase in average energy consumption.

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Dynamic channel assignment for wireless sensor networks: A regret matching based approach

Cited by 73 publications

References 33 publications

AF Relaying with Energy Harvesting Source and Relay

AF Relaying with Energy Harvesting Source and Relay

A Hierarchical Data Transmission Framework for Industrial Wireless Sensor and Actuator Networks

A Novel Framework to Enhance the Performance of Contention-Based Synchronous MAC Protocols

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