Simulating Mobility in WSNs: Bridging the Gap between ns-2 and TOSSIM 2.x

Stevens, Clay; Lyons, Colin; Hendrych, Ronny; Carbajo, Ricardo Simón; Huggard, Meriel; McGoldrick, Ciarán

doi:10.1109/ds-rt.2009.22

Cited by 9 publications

(7 citation statements)

References 8 publications

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“…The algorithm has been implemented in TinyOS version 2.1.1 [8] and evaluated in its embedded simulator TOSSIM [9], [10] where TOSSIM has been extended to support mobility [11]. The mechanism has been designed to operate as a separate component and, for the evaluation, it is integrated in a gradient-based routing protocol.…”

Section: Discussionmentioning

confidence: 99%

Opportunistic detection of relative mobility in wireless sensor networks

Carbajo

Huggard

McGoldrick

2010

2010 IFIP Wireless Days

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Abstract-In highly mobile ad hoc networks the neighbourhood status evolves rapidly. Routing tables which are populated with an "out of date" view of the neighbourhood produce an overhead in the routing process which can affect the QoS of the communication and the stability of the network interconnectivity. To maintain correct network state information, periodic "Hello" messages are often employed. In many scenarios these may be expensive in terms of communication and energy. Providing a node with an ability to estimate mobility has been proposed as a mechanism for regulating the transmission of discovery "Hello" messages and for prompt updates of its neighbourhood view.In this paper, a mechanism for gauging the relative mobility of a node with respect to its neighbourhood is presented for mobile Wireless Sensor Networks. The algorithm employs a set of Bloom filters to encapsulate opportunistically eavesdropped data from neighbours. A set of mobility states is defined using a model based on the number of neighbours recently cached, a membership comparison of Bloom filters, and a probabilistic expression. The mechanism detects changes in the neighbourhood using only the available information. The evaluation of the system has been performed (using a gradientbased routing protocol) in the TinyOS simulator, Tossim.

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Section: Discussionmentioning

confidence: 99%

Opportunistic detection of relative mobility in wireless sensor networks

Carbajo

Huggard

McGoldrick

2010

2010 IFIP Wireless Days

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“…The Kansei testbed is intended for facilitating the study of large-scale sensor network applications. A hybrid modeling solution is used, it connects the sensor array with host, and then turns up TOSSIM [6] simulators on the host, the applications are running on the simulator. When begin to sensing and communicating, pause the simulator, save the status of simulator, and then, use the real nodes connected with the host to complete the sensing and communicating job.…”

Section: Related Workmentioning

confidence: 99%

A Scalable and Virtualized Testbed for IoT Experiments

Gu¹,

Zhang²,

Pei³

et al. 2018

Proceedings of the 12th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks &

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With the rapid development of information technology, the Internet of Things (IoT) is getting more attentions, which has promoted a new wave of information and industrial tide. In order to reduce the CAPEX, OPEX and TIEX of IoT systems, before the deployment, people often evaluate IoT architectures, protocols, as well as configurations on testbeds. As physical resources of any testbed are limited, it is challenging to conduct large-scale IoT experiments. In this paper, we apply the virtualization technology to optimize an existing network testbed, adopt VMNet to emulate wireless sensors in the IoT experiment, and improve the scalability of the experiment to support large-scale IoT assessments. Our scheme leverages a multi-host collaborative with static multi-sink architecture to solve the bottleneck problem of the largescale IoT emulation and multiple interpolation algorithms to supplement the time continuity and spatial integrity of the sensed data for enhanced fidelity of the IoT experiment. According to our experiments, the virtualized IoT testbed not only reduced the TIEX of IoT emulation sharply, but also enhanced the scalability of IoT experiments.

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“…In this section, the CTP-based dynamic routing mechanisms were simulated with simulator TOSSIM [ 13 , 14 ] and then they were evaluated in relation to multiple aspects. According to the evaluation result, a better mechanism from two possible mechanisms was chosen and this was proposed as a solution to the dynamic routing strategy for an IWSN based on the WirelessHART standard.…”

Section: Simulations and Evaluationmentioning

confidence: 99%

Research on Dynamic Routing Mechanisms in Wireless Sensor Networks

Zhao

Weng²,

Lu³

et al. 2014

The Scientific World Journal

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WirelessHART is the most widely applied standard in wireless sensor networks nowadays. However, it does not provide any dynamic routing mechanism, which is important for the reliability and robustness of the wireless network applications. In this paper, a collection tree protocol based, dynamic routing mechanism was proposed for WirelessHART network. The dynamic routing mechanism was evaluated through several simulation experiments in three aspects: time for generating the topology, link quality, and stability of network. Besides, the data transmission efficiency of this routing mechanism was analyzed. The simulation and evaluation results show that this mechanism can act as a dynamic routing mechanism for the TDMA-based wireless sensor network.

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Simulating Mobility in WSNs: Bridging the Gap between ns-2 and TOSSIM 2.x

Cited by 9 publications

References 8 publications

Opportunistic detection of relative mobility in wireless sensor networks

Opportunistic detection of relative mobility in wireless sensor networks

A Scalable and Virtualized Testbed for IoT Experiments

Research on Dynamic Routing Mechanisms in Wireless Sensor Networks

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