The Evolution of Ad Hoc Networks for Tactical Military Communications: Trends, Technologies, and Case Studies

Patel, Zalak; Khanpara, Pimal; Valiveti, Sharada; Raval, Gaurang

doi:10.1007/978-981-19-7874-6_24

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…However, with the ever-evolving nature of tactical military networks as depicted in [3] there are still many open issues that need to be addressed to achieve the maximum benefit of the MANET. To design and deploy efficient and improved army tactical networking scenarios.…”

Section: Introductionmentioning

confidence: 99%

Centralized multicasting AODV routing protocol optimized for intermittent cognitive radio ad hoc networks

Phaswana,

Nleya,

Velempini

2024

ICST Transactions on Mobile Communications and Applications

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The advancement of wireless technology is affected by Spectrum scarcity and the overcrowding of free spectrum. Cognitive Radio Ad Hoc Networks (CRAHNs) have emerged as a possible solution to both the scarcity and overcrowding challenges of the spectrum. The CRAHNs ensure that the Secondary Users (SUs) do co-exist with Primary Users (PUs) in a non-interfering manner. The SUs access the licensed spectrum opportunistically when they are idle. CRAHNs have many use cases which include intermittent networks here referred to as intermittent CRAHNs (ICRAHNs). For example, the Military (MCRAHNs). MCRAHN is complex and characterized by a dynamic topology which is subject to frequent partitioning and route breakages due to attacks and destruction in combat. This study optimizes the routing protocols for intermittent networks such as the MCRAHNs. ICRAHN routing is a challenge due to the network’s intermittent attribute, which is subject to destruction in the case of MCRAHN which is characterized by frequent link breakages. To better understand the routing in this network scenario, this paper presents two analytic models for the AODV and MAODV protocols based on queuing theory. The analytic models simulate unicast and multicast AODV in terms of factors such as queuing delay, throughput, and network scalability. Numerical analysis shows that MAODV outperforms AODV. Furthermore, the suggested routing protocols' performance was tested using network simulations utilizing the following metrics: throughput, Routing Path delay, Node Relay delay, and Spectrum Mobility delay. The simulation findings suggest that the MAODV protocol outperforms the AODV protocol.

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Section: Introductionmentioning

confidence: 99%

Centralized multicasting AODV routing protocol optimized for intermittent cognitive radio ad hoc networks

Phaswana,

Nleya,

Velempini

2024

ICST Transactions on Mobile Communications and Applications

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Optimizing Project Management Outcomes

Zhakupbekova,

Turginbayeva,

Ashirbekova

2024

International Journal of Knowledge Management

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This research systematically investigated and optimized project management practices by assessing the perspectives of employees. It analyses the impact of team collaboration, operational efficiency, risk management, and adaptability in achieving efficient project management. It also examined the mediating role of communication strategy and the moderating effect of technology adoption in project management context within hotels in Kazakhstan. A cluster sampling technique was employed to gather responses from 531 participants in the initial survey and 478 participants in the subsequent survey. The results of the quantitative analysis provided a nuanced understanding of the relationships between team collaboration, operational efficiency, risk management, and adaptability in the context of hotel project management. This research contributed to the existing knowledge by providing empirical evidence on the key determinants of efficient project management within the hotel industry.

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The Evolution of Ad Hoc Networks for Tactical Military Communications: Trends, Technologies, and Case Studies

Cited by 2 publications

References 21 publications

Centralized multicasting AODV routing protocol optimized for intermittent cognitive radio ad hoc networks

Centralized multicasting AODV routing protocol optimized for intermittent cognitive radio ad hoc networks

Optimizing Project Management Outcomes

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