DDAM: Dynamic network condition detection and communication adaptation in Tactical Edge Networks

Fronteddu, Roberto; Morelli, Alessandro; Tortonesi, Mauro; Suri, Niranjan; Stefanelli, Cesare; Lenzi, Rita; Casini, Enrico

doi:10.1109/milcom.2016.7795456

“…Dynamic Detect and Adapt Mechanism (DDAM), a distributed approach to network monitoring and communication adaptation from frequent disconnections and varying radio channel conditions, has been introduced in ref. [36]. The applicability of aerial networks without centralised-based systems/device requirements can be expanded through coordination among various ad hoc systems.…”

Section: Literature Reviewmentioning

confidence: 99%

A constructive airborne‐ground matrix algorithm for modern telecommunication systems

Arun Raj A,

Xavier S,

Kathrine G

et al. 2023

IET Networks

1

0

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Conventional Mobile Communication Systems (MCS) reliably transfer critical messages from authorised remote information sources like military bases and ground control stations in the war field. As tactical advancement grows rapidly, the challenges of transmitting tactical messages via conventional satellite methods increase the processing overhead related to cost, Line of Sight (LOS) communication, packet loss, delay, and retransmission requests. Modern mobile communication systems use Airborne Node Networks (ANN) between satellites and Mobile Ground Nodes (MGNs) as they provide many advantages in mobile communication systems. Hence airborne network reduces the burden of satellites as they are only used as relay stations. The mobility problem caused by ANN and MGNs is solved by proposing a novel constructive airborne‐ground matrix algorithm known as the Who‐To‐Whom (WTW) matrix. With the help of this matrix acting as a reference index, it determines which nodes relate to whom at every time interval T in the tactical environment. This WTW matrix holds precise status/information about connectivity among all stakeholders in the operating environment by carefully and effectively accounting for frequent location changes. The methodology of the proposed matrix is that it contains the physical parameters of the nodes and their behaviour in the tactical environment. The WTW matrix construction algorithm discusses how the reference matrix is constructed in every aerial node to monitor the mobile ground nodes by leading them to safety and providing aerial guidance as they move along the tactical environment. The performance metrics are measured with other existing schemes, and the merits and demerits of the proposed WTW matrix are identified and discussed in detail.

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“…In [13], the authors introduce a mechanism to dynamically detect and adapt to the changing network conditions in tactical networks. Their non-intrusive solution identifies the communication technology providing the link but there is limited discussion about how to adapt user data flows to the network conditions.…”

Section: Tactical Systemsmentioning

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.

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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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“…The goal is to construct mathematical arguments explaining why systems, also called middlewares, brokers or proxies (e.g. [6], [7], [11], [12], [13], [14], [15], [16], [17], [18]), can handle changes in both A and B relying on crosslayer information exchange with the radios and routers (e.g. buffer occupancy, link data rate, latency, packet loss and so on).…”

Section: Introductionmentioning

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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DDAM: Dynamic network condition detection and communication adaptation in Tactical Edge Networks

Cited by 12 publications

References 6 publications

A constructive airborne‐ground matrix algorithm for modern telecommunication systems

A constructive airborne‐ground matrix algorithm for modern telecommunication systems

Queuing Over Ever-Changing Communication Scenarios in Tactical Networks

Queuing over Ever-changing Communication Scenarios in Tactical Networks

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