Throughput vs. Resilience in Multi-hop Wireless Sensor Networks with Periodic Packet Traffic

Ostrowski, Bartlomiej; Pióro, Michał; Tomaszewski, Artur; Nowak, Mateusz; Kalesnikau, Ilya

doi:10.1109/drcn48652.2020.1570610581

Cited by 1 publication

(2 citation statements)

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“…For example, paper [ 11 ] discusses the advantageous of multicast transmission in WSNs, while algorithms and protocols for multicast transmission in WSN can be found, for example, in [ 12 , 13 ]. Moreover, some papers, such as [ 14 , 15 , 16 ], consider multicast transmission for the particular throughput maximization problem that we dealt with in this paper. In particular, the numerical section presented in [ 16 ] contains a comparison of unicast vs. multicast routing efficiency, highlighting the gain that is achieved by utilizing multicast in WSNs.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, some papers, such as [ 14 , 15 , 16 ], consider multicast transmission for the particular throughput maximization problem that we dealt with in this paper. In particular, the numerical section presented in [ 16 ] contains a comparison of unicast vs. multicast routing efficiency, highlighting the gain that is achieved by utilizing multicast in WSNs.…”

Section: Introductionmentioning

confidence: 99%

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Multicast Traffic Throughput Maximization through Joint Dynamic Modulation and Coding Schemes Assignment, and Transmission Power Control in Wireless Sensor Networks

Ostrowski¹,

Pióro²,

Tomaszewski³

2021

Sensors

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The paper concerns multicast packet traffic throughput maximization in multi-hop wireless sensor networks with time division multiple access to radio channel. We assume that the modulation and coding schemes (MCSs) that are used by the (broadcasting) nodes as well as the transmission power of the nodes are adjustable. This leads to the main research question studied in this paper: to what extent traffic throughput can be increased by proper MCSs assignment and transmission power control (TPC) at the nodes? To answer this question, we introduce mixed-integer programming formulations for joint MCSs assignment and TPC optimization, together with a solution algorithm. Finally, we present a numerical study illustrating the considerations of the paper. The numerical results show a significant gain being achieved by proper MCSs assignment, which is further increased by applying TPC.

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