Performance Evaluation of Flooding Algorithms for Wireless Sensor Networks Based on EffiSen: The Custom-Made Simulator

Musznicki, Bartosz; Zwierzykowski, Piotr

doi:10.1201/b17650-21

Cited by 4 publications

(6 citation statements)

References 8 publications

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“…Additionally, multipath and multiple-copy ( n-copy ) routing may be deployed to increase the probability of successful delivery. Opportunistic networks can even operate without, or based on scarce, routing information, implementing simple flooding-like methods [ 40 ] or more sophisticated ones, such as beacon-less routing [ 41 ], where no node presence messages (beacons) are periodically broadcast to make neighboring nodes aware of the existence (and often location) of other nodes. Opportunistic routing has been shown to achieve better performance than traditional routing under a variety of demanding conditions.…”

Section: Routing Research Problems In Urban Networkmentioning

confidence: 99%

Modeling Real-Life Urban Sensor Networks Based on Open Data

Musznicki

Piechowiak

Zwierzykowski

2022

Sensors

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Epidemics and pandemics dramatically affect mobility trends around the world, which we have witnessed recently and expect more of in the future. A global energy crisis is looming ahead on the horizon and will redefine the transportation and energy usage patterns, in particular in large cities and metropolitan areas. As the trend continues to expand, the need to efficiently monitor and manage smart city infrastructure, public transportation, service vehicles, and commercial fleets has become of higher importance. This, in turn, requires new methods for dissemination, collection, and processing of data from massive number of already deployed sensing devices. In order to transmit these data efficiently, it is necessary to optimize the connection structure in wireless networks. Emerging open access to real data from different types of networked and sensing devices should be leveraged. It enables construction of models based on frequently updated real data rather than synthetic models or test environments. Hence, the main objective of this article is to introduce the concept of network modeling based on publicly available geographic location data of heterogeneous nodes and to promote the use of real-life diverse open data sources as the basis of novel research related to urban sensor networks. The feasibility of designed modeling architecture is discussed and proved with numerous examples of modeled spatial and spatiotemporal graphs, which are essential in opportunistic routing-related studies using the methods which rely on graph theory. This approach has not been considered before in similar studies and in the literature.

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Section: Routing Research Problems In Urban Networkmentioning

confidence: 99%

Modeling Real-Life Urban Sensor Networks Based on Open Data

Musznicki

Piechowiak

Zwierzykowski

2022

Sensors

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“…Node deployment is the basic element that influences the way the topology of a sensor network is controlled [1], [45]. Moreover, the empirical practices related to topology control in commercially-oriented ventures, as discussed in the following sections, seem to focus, first and foremost, on the distribution of nodes.…”

Section: Sensor Nodes Deploymentmentioning

confidence: 99%

“…The deployment of nodes or the range of their relocation makes it possible to prolong the operating time of a network. This can be also achieved, for example, by securing such distances between sensors that would enable the routing mechanisms applied to remain operable in the most effective way, without the need to manipulate the power of transceivers [1], [39].…”

Section: Deterministic Deploymentmentioning

confidence: 99%

“…The need to use devices that provide measurement data and those that transport thus obtained information to a destination point usually located deep inside the network is an inextricable element defining the operation of any Wireless Sensor Network (WSN) [1]. Hence, with reference to WSN, a sensor is typically understood not only as a component that performs measurements, but also as an entire small-size network node.…”

Section: Introductionmentioning

confidence: 99%

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Empirical Approach in Topology Control of Sensor Networks for Urban Environment

Musznicki¹

2019

JTIT

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Research into the topology control of Wireless Sensor Networks (WSNs) is geared towards modeling and analysis of methods that may be potentially harnessed to optimize the structure of connections. However, in practice, the ideas and concepts provided by researchers have actually been rarely used by network designers, while sensor systems that have already been deployed and are under continued development in urban environments frequently differ from the patterns and research models available. Moreover, easy access to diversified wireless technologies enabling new solutions to be empirically developed and popularized has also been conducive to strengthening this particular trend. -empirical approach, node deployment, sensor network, topology control, urban environment, WSN. Keywords

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“…Another analysis carried out to examine the performance characteristics of both discussed routing protocols is the analysis of the buffer capacity of the message. Builtin memory resources in modern microcontrollers allow designers to implement data buffers that are able to hold at the same time more than 1000 individual messages [9].…”

Section: Routing Protocolsmentioning

confidence: 99%

The Impact of Selected Parameters on the Performance of Routing Protocols in Wireless Sensor Networks

Piechowiak

Zwierzykowski

Kotlarz

et al. 2017

Image Processing &Amp; Communications

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The aim of the article was to compare the effectiveness of the selected routing protocols for wireless sensor networks taking into account a number of specific parameters as network troughput, packet error rate and message buffer capacity for different network topologies. The simulation research was conducted in open source OMNeT++ environment. In order to achieve the assumed requirements, four different-sized network topologies were established and AODV and DYMO routing protocols were adapted.

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Performance Evaluation of Flooding Algorithms for Wireless Sensor Networks Based on EffiSen: The Custom-Made Simulator

Cited by 4 publications

References 8 publications

Modeling Real-Life Urban Sensor Networks Based on Open Data

Modeling Real-Life Urban Sensor Networks Based on Open Data

Empirical Approach in Topology Control of Sensor Networks for Urban Environment

The Impact of Selected Parameters on the Performance of Routing Protocols in Wireless Sensor Networks

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