Experimental Evaluation of Group Communications Protocols for Data Dissemination at the Tactical Edge

Suri, Niranjan; Breedy, Maggie; Marcus, Kelvin; Fronteddu, Roberto; Cramer, Eelco; Morelli, Alessandro; Campioni, Lorenzo; Provosty, Mike; Enders, Conner; Tortonesi, Mauro; Nilsson, Josef

doi:10.1109/icmcis.2019.8842801

“…Algorithm 1 Creating a sequence of states Input: X 0 , A, seed, length Output: A Initialization : 1: A ← new array(length) 2: n ← X 0 .length 3: for i = 1 to A.length do 4: dice ← randomNumber(seed); 5:…”

Section: Modeling Ever-changing Sequence Of Messagesmentioning

confidence: 99%

Queuing over Ever-changing Communication Scenarios in Tactical Networks

Lopes¹,

Balaraju²,

Rettore³

et al. 2020

Preprint

0

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This paper introduces a hierarchy of queues complementing each other to handle ever-changing communication scenarios in tactical networks. The first queue stores the QoS-constrained messages from command and control systems. These messages are fragmented into IP packets, which are stored in a queue of packets (second) to be sent to the radio buffer (third), which is a queue with limited space therefore, open to overflow. We start with the hypothesis that these three queues can handle ever-changing user(s) data flows (problem A) through ever-changing network conditions (problem B) using cross-layer information exchange, such as buffer occupancy, data rate, queue size and latency (problem A|B). We introduce two stochastic models to create sequences of QoS-constrained messages (A) and to create ever-changing network conditions (B). In sequence, we sketch a control loop to shape A to B to test our hypothesis using model A|B, which defines enforcement points at the incoming/outgoing chains of the system together with a control plane. Then, we discuss experimental results in a network with VHF radios using data flows that overflows the radio buffer over ever-changing data rate patterns. We discuss quantitative results showing the performance and limitations of our solutions for problems A, B and A|B.

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“…Extendable Mobile Ad-hoc Network Emulator (Emane) is another celebrated emulator for tactical networks which has been used in [120], [121], [122] and [123] to evaluate various policies for group-based communications, latency-aware queuing control, situation-aware publish subscribe model and mission-centric content sharing respectively. Emane incorporates more detailed radio models that simplify the emulation of MANET, although it lacks an accurate interference model based on Signal-to-Interference-and-Noise-Ratio (SINR) and extensive libraries for imitating complex scenarios in SDN environments.…”

Section: Emulationmentioning

confidence: 99%

Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions

Mahmud¹,

Toosi²,

Rodríguez³

et al. 2020

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0

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Software Defined Networking (SDN) has emerged as a programmable approach for provisioning and managing network resources by defining a clear separation between the control and data forwarding planes. Nowadays SDN has gained significant attention in the military domain. Its use in the battlefield communication facilitates the end-to-end interactions and assists the exploitation of edge computing resources for processing data in the proximity. However, there are still various challenges related to the security and interoperability among several heterogeneous, dynamic, intermittent, and data packet technologies like multi-bearer network (MBN) that need to be addressed to leverage the benefits of SDN in tactical environments. In this chapter, we explicitly analyse these challenges and review the current research initiatives in SDN-enabled tactical networks. We also present a taxonomy on SDNbased tactical network orchestration according to the identified challenges and map the existing works to the taxonomy aiming at determining the research gaps and suggesting future directions.

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“…These three problems are partially addressed in the literature reporting simulations and field experiments in tactical networks (e.g. [5], [6], [7], [8], [9], [10]). For example, it is common to find studies using non-stochastic user-generated data flows with few types of messages sent to the network within an uniform time window (problem A).…”

Section: Introductionmentioning

confidence: 99%

Queuing Over Ever-Changing Communication Scenarios in Tactical Networks

Lopes

¹

,

Balaraju

²

,

Rettore

³

et al. 2022

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

This paper introduces a hierarchy of queues complementing each other to handle ever-changing communication scenarios in tactical networks. The first queue stores the QoS-constrained messages from command and control systems. These messages are fragmented into IP packets, which are stored in a queue of packets (second) to be sent to the radio buffer (third), which is a queue with limited space therefore, open to overflow. We start with the hypothesis that these three queues can handle ever-changing user(s) data flows (problem A) through ever-changing network conditions (problem B) using cross-layer information exchange, such as buffer occupancy, data rate, queue size and latency (problem A|B). We introduce two stochastic models to create sequences of QoS-constrained messages (A) and to create ever-changing network conditions (B). In sequence, we sketch a control loop to shape A to B to test our hypothesis using model A|B, which defines enforcement points at the incoming/outgoing chains of the system together with a control plane. Then, we discuss experimental results in a network with VHF radios using data flows that overflows the radio buffer over ever-changing data rate patterns. We discuss quantitative results showing the performance and limitations of our solutions for problems A, B and A|B.

show abstract

Experimental Evaluation of Group Communications Protocols for Data Dissemination at the Tactical Edge

Cited by 17 publications

References 6 publications

Queuing over Ever-changing Communication Scenarios in Tactical Networks

Queuing over Ever-changing Communication Scenarios in Tactical Networks

Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions

Queuing Over Ever-Changing Communication Scenarios in Tactical Networks

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