Analysis of Route Stability in Mobile Multihop Networks Under Random Waypoint Mobility

Younes, Osama; Albalawi, Umar

doi:10.1109/access.2020.3023142

Cited by 13 publications

(8 citation statements)

References 31 publications

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“…For the link and route lifespan in mobile multi-hop networks, Younes and Albawi presented an analytical model [28]. Several distinct network variables were altered throughout the simulation that utilized the RWP model.…”

Section: 2related Workmentioning

confidence: 99%

MANET performance evaluation for DSDV, DSR and ZRP

2023

IJATEE

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Wireless communication can be provided through MANETs without the need for a strong physical infrastructure.They use a multi-hop communication approach where the source and destination mobile nodes connect indirectly through intermediary nodes and only consist of a collection of radio equipment. Only nearby nodes can directly communicate with one another.MANETs allow every device to move around independently and in any direction. MANET supports device mobility as it is a self-aligning network without physical infrastructure. Because of its selfconfiguring, self-repairing, self-functioning, and selfrecovery network, MANET is simple to maintain [4,5]. Since MANET is a decentralized, infrastructureless network, users can configure dynamically wireless connections without an established infrastructure network [6,7]. Military operations like tactical networks and complex defence research were where MANET was first use in the context of application. Using MANETs to build a wireless connection that is dynamically

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Section: 2related Workmentioning

confidence: 99%

MANET performance evaluation for DSDV, DSR and ZRP

2023

IJATEE

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“…Younes and Albalawi [28] proposed an analytical model for the link and route lifetime in the mobile multi-hop networks. The RWP model has been used in the simulation by varying different network characteristics.…”

Section: Literature Reviews 21mobility Models In Disaster Area Scenariomentioning

confidence: 99%

A review on mobility models in disaster area scenario

Mahiddin¹,

Affandi²,

Mohamad³

2021

IJATEE

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Disaster struck does not announce itself and people usually caught with the ad hoc situation. Disaster is divided into two types which are natural disasters and man-made disasters. Natural disasters happen because of a natural phenomenon or process such as earthquakes, tsunamis, typhoons and others. Manmade disasters happen as a consequence of technological or human hazards such train accident, traffic collision, aviation incident (plane crash), structural collapse and others. Such disaster struck events may cause fixed network infrastructure to be partially or fully-destroyed. *Author for correspondenceThe deployment of the fixed network infrastructure will be almost impossible to be re-established and recovered within a short time, especially in remote area where one had never existed.During the disaster struck, two entities would be existed which are victims and rescue teams like firefighters, police, volunteers and medical teams. The communication network is vital, especially after the disaster struck as the rescue teams need to coordinate the Search and Rescue (SAR) operations and mission critical. The real-life situation can remain unknown to the rescue teams involved in the SAR operations or it can be totally different from what it was before the disaster due to the damages. Subsequently, the exchange of data on the latest condition at the disaster area plays a big part and is crucial to save lives and

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“…The method provides testing algorithms for components connectivity created using node connectivity random graph. A closed-form analytical model for the connectivity and route lifetime for multihop mobile networks is presented in [21]. The model evaluates the effect of different network characteristics, include number of nodes, hops, transmission range, speed of nodes, and derive bounds of link and route lifetime.…”

Section: Related Workmentioning

confidence: 99%

A Stochastic Distribution Based Methodology to Estimate Control Phase Time for Software-Defined Radios in Tactical MANETs

et al. 2021

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Unlike commercial networks, the tactical networks drive in a critical environment and without a backbone infrastructure. These networks involve mission-critical operations that are dependent on the rapid and reliable transfer of delay-sensitive data to conduct command and control (C2). Owing to the decentralized and dynamic nature, tactical networks need to survive by maintaining seamless and simultaneous time-sensitive communication among software-defined radios (SDRs). Under mobility and dynamic network topology, link status continuously changes that cause substantial packet loss, and degrade network performance. It is challenging to maintain the connectivity between communicating nodes and find a suitable time for sending control messages (e.g., packet forwarding and route discovery), known as control phase time (CPT). Given a maximum transmission range for narrowband (NB) and wideband (WB) communication, the knowledge of link duration between communicating radios are of major concern, particularly for low latency and reliable communication requirements. Many existing techniques focus on topology control by exchanging mobility parameters in control transmissions, increasing the delay in data transmission. Therefore, it is a non-trivial task to calculate the expected time for the control transmissions due to the confrontation of speed and random movement of nodes. This paper presents a novel methodology to estimate a suitable time to execute the control phase based on the lifetime of communication links between SDRs in tactical MANETs. It uses stochastic distribution to make a network capable of effectively figuring out operative connectivity. The proposed methodology evaluates the maximum network connectivity based on the distances between communicating radios and radio transmission ranges for different qualityof-service (QoS) requirements. The simulation results validate that the proposed methodology's CPT estimations are more appropriate for the timely link-formations in tactical radio MANETs. The proposed technique is generic and can be applied to any MANET environment using different mobility models.INDEX TERMS Mobile ad hoc networks, tactical network, time-critical data, software-defined radio.

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Analysis of Route Stability in Mobile Multihop Networks Under Random Waypoint Mobility

Cited by 13 publications

References 31 publications

MANET performance evaluation for DSDV, DSR and ZRP

MANET performance evaluation for DSDV, DSR and ZRP

A review on mobility models in disaster area scenario

A Stochastic Distribution Based Methodology to Estimate Control Phase Time for Software-Defined Radios in Tactical MANETs

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