Scenario-oriented ad hoc networks simulation with mobility models

McNeill, Kevin M.; Zhao, Yun Feng; Gaviria, Natalia; Martínez, Ricardo; Deal, J.

doi:10.1109/milcom.2004.1493255

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…The Pursue mobility model is one of the most applicable mobility models in different types of IoT applications. For example, it could be utilized in law enforcement or pursuing a retreating adversary [138]. It could be also used in those use cases with a high demand of modeling the movement patterns of a group of police officers chasing a criminal in a highway.…”

Section: ) Pursue Mobility Model (Pmm) [81]mentioning

confidence: 99%

Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey

et al. 2020

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With the widespread use of IoT applications and the increasing trend in the number of connected smart devices, the concept of routing has become very challenging. In this regard, the IPv6 Routing Protocol for Low-power and Lossy Networks (PRL) was standardized to be adopted in IoT networks. Nevertheless, while mobile IoT domains have gained significant popularity in recent years, since RPL was fundamentally designed for stationary IoT applications, it could not well adjust with the dynamic fluctuations in mobile applications. While there have been a number of studies on tuning RPL for mobile IoT applications, but still there is a high demand for more efforts to reach a standard version of this protocol for such applications. Accordingly, in this survey, we try to conduct a precise and comprehensive experimental study on the impact of various mobility models on the performance of a mobility-aware RPL to help this process. In this regard, a complete and scrutinized survey of the mobility models has been presented to be able to fairly justify and compare the outcome results. A significant set of evaluations has been conducted via precise IoT simulation tools to monitor and compare the performance of the network and its IoT devices in mobile RPL-based IoT applications under the presence of different mobility models from different perspectives including power consumption, reliability, latency, and control packet overhead. This will pave the way for researchers in both academia and industry to be able to compare the impact of various mobility models on the functionality of RPL, and consequently to design and implement application-specific and even a standard version of this protocol, which is capable of being employed in mobile IoT applications.

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Section: ) Pursue Mobility Model (Pmm) [81]mentioning

confidence: 99%

Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey

et al. 2020

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“…Users of the MN communications system may require hand-off from one serving node to another as they move in the battlespace. MN systems have a high mobility requirement, with a wide range of mobility scenarios imposing requirements on the underlying network protocols [11]. MN nodes will generally have increased bandwidth requirements to support the higher overhead associated with topology management.…”

Section: Military Usage Model / Conopsmentioning

confidence: 99%

“…In the commercial world, wireless broadband networking has been dominated by technologies such as IEEE 802. 11 2, Wi-Fi® 3 and 3G cellular. The introduction of IEEE 802.16e-2005 [3] (802.16e) to meet mobility needs for wireless broadband should enable very strong growth in this market.…”

Section: Introductionmentioning

confidence: 99%

A PMP-Friendly MANET Networking Approach for WiMAX/IEEE 802.16/sup TM/

Sherman

McNeill

Conner

et al. 2006

MILCOM 2006 - 2006 IEEE Military Communications Conference

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WiMAX Forum certifiedT ' broadband wireless equipment is now available to military users and consumers alike. This equipment is based on the IEEE 802. 16 -2004 2 and IEEE 802.16e -2005 2standards. This commercial off-theshelf (COTS) equipment promises to greatly reduce the cost of broadband wireless access and lead to costeffective solutions for the military. However, existing COTS equipment has performance deficiencies when considered for military and national security operational scenarios. One deficiency is the lack ofmobile ad-hoc and mesh networking capabilities compatible with the currently fielded point-to-multipoint (PMP) mode. While the IEEE 802.16-2004 standard includes a mesh capability, it does not interoperate with the PMP mode, and is not being consideredfor implementation. The IEEE 802.16e-2005 amendment addresses subscriber mobility but does nothing to address the ad-hoc and mesh shortcomings in WiMAX and IEEE 802.16-2004. This paper reviews some current and planned capabilities of WiMAX and recommends extensions to the IEEE 802.16 standard to facilitate mobile ad-hoc and mesh networking protocols that can interoperate with planned WiMAX deployments.

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“…OPNET network simulator is used to assess the above models. However, this study is limited to a few performance metrics and results are reported by varying speed and pause-time [6].…”

Section: Introductionmentioning

confidence: 99%

Investigating the impacts of entity and group mobility models in MANETs

Rahman

Alam

Abbas

2016

2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube)

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Mobile Ad hoc Networks (MANETs) represent complex distributed systems that do not rely on any infrastructure or centralized administration. These networks consist of wireless mobile devices which communicate with each other over the wireless channel. Because each mobile node (MN) has a limited transmission range, multi-hop communication is necessary to deliver data across the entire network. Such type of communication requires routing protocols which are capable of discovering multihop routes between the sending and receiving nodes. In addition, various mobility models are used to mimic the walking patterns of MNs in real-world environments. These models are generally categorized into two types, i.e., (i) entity and (ii) group-based mobility models depending upon their functionalities.In this paper, we assessed the impacts of different networking contexts on the performance of different mobility models. We selected Random Waypoint (RWP) and Gauss-Markov (GM) models from the first category and Reference Point group (RPGM) and Nomadic Community (NCMM) mobility models from the second. We performed extensive simulations using Network Simulator (NS-2). Simulation results reveal that there is a decline in cost as the speed of MNs is increased. In addition, node density differently impacted the performance of both types of models. The recommendation of this research will provide better understanding of the different mobility models in MANETs and their uses in real-world environments such as search and rescue operations, battlefield situations, tracking operations, people-centric networking and many more.

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Scenario-oriented ad hoc networks simulation with mobility models

Cited by 5 publications

References 9 publications

Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey

Impacts of Mobility Models on RPL-Based Mobile IoT Infrastructures: An Evaluative Comparison and Survey

A PMP-Friendly MANET Networking Approach for WiMAX/IEEE 802.16/sup TM/

Investigating the impacts of entity and group mobility models in MANETs

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