A cooperative phase-steering technique in spectrum sharing-based military mobile ad hoc networks

Lee, Sangku; Youn, Janghyuk; Jung, Bang Chul

doi:10.1016/j.icte.2020.04.001

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…Bands reserved for military applications, such as radar are relatively underutilized whereas spectrum bands for public cellular networks are used much more heavily [25]. Therefore spectrum-sharing opportunities and improvements are applied mainly in spectrum bands used for military applications [26].…”

Section: B Military Networkmentioning

confidence: 99%

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

et al. 2020

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There has been an increasing prevalence of ad-hoc networks for various purposes and applications. These include Low Power Wide Area Networks (LPWAN) and Wireless Body Area Networks (WBAN) which have emerging applications in health monitoring as well as user location tracking in emergency settings. Further applications can include real-time actuation of IoT equipment, and activation of emergency alarms through the inference of a user's situation using sensors and personal devices through a LPWAN. This has potential benefits for military networks and applications regarding the health of soldiers and field personnel during a mission. Due to the wireless nature of ad-hoc network devices, it is crucial to conserve battery power for sensors and equipment which transmit data to a central server. An inference system can be applied to devices to reduce data size for transfer and subsequently reduce battery consumption, however this could result in compromising accuracy. This paper presents a framework for secure automated messaging and data fusion as a solution to address the challenges of requiring data size reduction whilst maintaining a satisfactory accuracy rate. A Multilayer Inference System (MIS) was used to conserve the battery power of devices such as wearables and sensor devices. The results for this system showed a data reduction of 97.9% whilst maintaining satisfactory accuracy against existing single layer inference methods. Authentication accuracy can be further enhanced with additional biometrics and health data information.

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Section: B Military Networkmentioning

confidence: 99%

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

et al. 2020

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“…Advancements in ad hoc networks are being driven with the growing use of wireless networks [1]. Search and rescue operations, Learning environment, military operations, Internet of thing (IoT), and forest fire surveillance are all examples of major Ad hoc network applications that require a high level of QoS [2][3][4][5][6]. MANET is a network of wireless self-organized nodes powered by battery and built-in in situations where other forms of communication are impractical to deploy.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of OLSR Protocol in Mobile Ad Hoc Networks

Wheeb

Al-Jamali

2022

Int. J. Interact. Mob. Technol.

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Optimized Link State Routing Protocol (OLSR) is an efficient routing protocol used for various Ad hoc networks. OLSR employs the Multipoint Relay (MPR) technique to reduce network overhead traffic. A mobility model's main goal is to realistically simulate the movement behaviors of actual users. However, the high mobility and mobility model is the major design issues for an efﬁcient and effective routing protocol for real Mobile Ad hoc Networks (MANETs). Therefore, this paper aims to analyze the performance of the OLSR protocol concerning various random and group mobility models. Two simulation scenarios were conducted over four mobility models, specifically the Random Waypoint model (RWP), Random Direction model (RD), Nomadic Community model (NC), and the Reference Point Group Model (RPGM) with a low as well as high random range mobility of the nodes. Moreover, BonnMotion Software and Network simulator NS-3 used to implement the simulation scenarios. Further, the performance of the OLSR protocol analyzed and evaluated based on latency, routing overhead, and packet loss ratio metrics. According to the results, the OLSR protocol provides the best performance over the RWP model in a low mobility environment, whereas the Nomadic mobility model is suitable for OLSR protocol in a high mobility environment.

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

Patel

Khanpara

Valiveti

et al. 2023

Lecture Notes in Networks and Systems

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A cooperative phase-steering technique in spectrum sharing-based military mobile ad hoc networks

Cited by 5 publications

References 16 publications

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

No Soldiers Left Behind: An IoT-Based Low-Power Military Mobile Health System Design

Performance Analysis of OLSR Protocol in Mobile Ad Hoc Networks

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

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