Improving the Performance of Trickle-Based Data Dissemination in Low-Power Networks

Stolikj, Milosh; Meyfroyt, Tmm Thomas; Cuijpers, Pjl Pieter; Lukkien, Johan J.

doi:10.1007/978-3-319-15582-1_12

Cited by 15 publications

(7 citation statements)

References 18 publications

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“…For this kind of the methods to set up the target sensors connected dominating set concerns is its effect on the depth of the connected dominating set, in the same network configuration of the connected dominating set the average depth. According to the results of the connected dominating set T2C with MDeluge establish an average depth of difference within a jump, the reason is that T2C also using breadth-first way to establish a connected dominating set, at the same time will affect the depth of the connected dominating set in the process of establishing the control node selection operation can only choose the nodes of the tree [10]. As shown in Figure 2 and Figure 3.…”

Section: Resultsmentioning

confidence: 99%

The Application of Reprogramming Technology in a Wireless Sensor Network

Jian-jun

2022

J. Phys.: Conf. Ser.

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Wireless sensor networks can collect physical world information in a large, long-term and real-time manner in a complex environment. Wireless sensor networks have been successfully applied in many fields. With the development of wireless sensor network, wireless sensor network applications need to update the executable code on the sensor due to the change of application requirements. The researchers call this a wireless sensor network application reprogramming, or simply reprogramming. The efficiency of reprogramming is closely related to the size of the updated code that needs to be distributed and the amount of traffic to be distributed. This paper firstly expands the classical logic language based on the characteristics of wireless sensor network, and implements the language by compiling/interpretation, which can generate the smaller update code. Secondly, the paper also makes full use of the location information of the sensor and the data distribution protocol of low message complexity of telecommunication and channel resources. The research results of this paper can effectively reduce the communication volume of the distribution process.

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Section: Resultsmentioning

confidence: 99%

The Application of Reprogramming Technology in a Wireless Sensor Network

Jian-jun

2022

J. Phys.: Conf. Ser.

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“…Combined with results from this paper, this could provide insight in how to optimally set the Trickle parameters and the length of the listen-only period. Additionally, the impact of non-instantaneous broadcasts, interference, and combining Trickle with CSMA/CA on the performance of the Trickle algorithm is discussed in [20]. Theorem 3 Let M be a simple stationary point process on X = R with finite intensity λ, and let M n denote the point process obtained by superposing n independent replicates of M and dilating the scale of X by a factor n. Then as n → ∞, M n converges weakly to a Poisson process with parameter measure λμ L (·), where μ L (·) denotes the Lebesgue measure on R.…”

Section: Resultsmentioning

confidence: 99%

On the scalability and message count of Trickle-based broadcasting schemes

et al. 2015

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As the use of wireless sensor networks increases, the need for efficient and reliable broadcasting algorithms grows. Ideally, a broadcasting algorithm should have the ability to quickly disseminate data, while keeping the number of transmissions low.In this paper, we analyze the popular Trickle algorithm, which has been proposed as a suitable communication protocol for code maintenance and propagation in wireless sensor networks. We show that the broadcasting process of a network using Trickle can be modeled by a Markov chain and that this chain falls under a class of Markov chains, closely related to residual lifetime distributions. It is then shown that this class of Markov chains admits a stationary distribution of a special form. These results are used to analyze the Trickle algorithm and its message count. Our results prove conjectures made in the literature concerning the effect of a listen-only period. Besides providing a mathematical analysis of the algorithm, we propose a generalized version of Trickle, with an additional parameter defining the length of a listen-only period.

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“…Finally, regarding the selection of Trickle and FruityMesh as mesh protocols the majority of the literature focuses on the former as it is part of the IETF's MPL protocol [15], which enables IPv6 multicast forwarding in Low-Power and Lossy Networks (LLNs). However, they again focus on 802.15.4 [34] networks. Regarding FruityMesh, a few recent works merely focus on characterizing its performance [16,27], but to the best of the authors' knowledge this is the first work that proposes a hybrid BLE mesh scheme using both mesh protocols in parallel.…”

Section: Related Workmentioning

confidence: 99%

An All-wireless SDN Framework for BLE Mesh

Murillo

Chiumento

Reynders

et al. 2020

ACM Trans. Internet Things

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The Internet of Things (IoT) paradigm combines the interconnection of massive amounts of battery-constrained and low-computational-power devices with low-latency and high-reliability network requirements. Additionally, diverse end-to-end services and applications with different Quality of Service (QoS) requirements are expected to coexist in the same network infrastructure. Software-defined Networking (SDN) is a paradigm designed to solve these problems, but its implementation in wireless networks and especially in the resource-constrained IoT systems is extremely challenging and has seen very limited adoption, since it requires isolation of data and control plane information flows and a reliable and scalable control plane. In this work, Bluetooth Low Energy (BLE) mesh is introduced as an adequate technology for an all-wireless SDN-BLE implementation, which is a technology that has become the de-facto standard for IoT. The proposed SDN-BLE framework uses a routing network slice for the data plane information flow and a flooding network slice for the control plane information flow, ensuring their isolation while still being transmitted over the wireless medium. The design and implementation of all the classical SDN layers on a hybrid BLE mesh testbed is given, where the data plane is formed by the BLE nodes and the control plane can be centralized on a server or distributed over several WiFi gateways. Several controllers are described and implemented, allowing the framework to obtain end-to-end network knowledge to manage individual nodes over the air and configure their behavior to meet application requirements. An experimental characterization of the SDN-BLE framework is given, where the impact of the different parameters of the system on the network reliability, overhead, and energy consumption is studied. Additionally, the distributed versus centralized control plane operation modes are experimentally characterized, and it is shown that the distributed approach can provide the same performance as the centralized one when careful system design is performed. Finally, a proof of concept for the SDN-BLE framework is presented, where a network congestion is automatically detected and the nodes responsible of such congestion are identified and reconfigured over the air, bypassing the congested links, to resume regular network performance.

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Improving the Performance of Trickle-Based Data Dissemination in Low-Power Networks

Cited by 15 publications

References 18 publications

The Application of Reprogramming Technology in a Wireless Sensor Network

The Application of Reprogramming Technology in a Wireless Sensor Network

On the scalability and message count of Trickle-based broadcasting schemes

An All-wireless SDN Framework for BLE Mesh

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