A Neighbor-Based Probabilistic Broadcast Protocol for Data Dissemination in Mobile IoT Networks

Liu, Wei; Nakauchi, Kiyohide; Shoji, Yozo

doi:10.1109/access.2018.2808356

Cited by 41 publications

(19 citation statements)

References 23 publications

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“…There are three types of transmission in the packet forwarding process: source to relay (S-R), relay to relay (R-R), and source to destination (S-D). The S-R transmission is designed for the start of multiple hop scheduling [28] and is used to share control information in the local area or collect monitored data at the sink node, using its ZigBee. A relay could refuse the transmission if that node was selfish enough (e.g., energy-hungry or experiencing a full relay queue).…”

Section: Selectable Transmission Modelmentioning

confidence: 99%

Enabling Computational Intelligence for Green Internet of Things: Data-Driven Adaptation in LPWA Networking

Zhang

Dong

Ota

2020

IEEE Comput. Intell. Mag.

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With the exponential expansion of the number of IoT (Internet of Things) devices, many state-of-the-art communication technologies are being developed to use the lower-power but extensively deployed devices. Due to the limits of pure channel characteristics, most protocols cannot allow an IoT network to be simultaneously largescale and energy-efficient, especially in hybrid architectures. However, different from the original intention to pursue faster and broader connectivity, the daily operation of IoT devices only requires stable and low-cost links. Thus, our design goal is to develop a comprehensive solution for intelligent green IoT networking to satisfy the modern requirements through a data-driven mechanism, so that the IoT networks use computational intelligence to realize self-regulation of composition, size minimization, and throughput optimization. To the best of our knowledge, this study is the first to use the green protocols of LoRa and ZigBee to establish an ad hoc network and solve the problem of energy efficiency. First, we propose a unique initialization mechanism that automatically schedules node clustering and throughput optimization. Then, each device executes a procedure to manage its own energy consumption to optimize switching in and out of sleep mode, which relies on AI-controlled service usage habit prediction to learn the future usage trend. Finally, our new theory is corroborated through real-world deployment and numerical comparisons. We believe that our new type of network organization and control system could improve the performance of all green-oriented IoT services and even change human lifestyle habits.

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Section: Selectable Transmission Modelmentioning

confidence: 99%

Enabling Computational Intelligence for Green Internet of Things: Data-Driven Adaptation in LPWA Networking

Zhang

Dong

Ota

2020

IEEE Comput. Intell. Mag.

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“…Both schemes determine rebroadcast probability as a function of the Jaccard distance. Other than neighbor information [23], [24], [30], node density [30], [31], mobility level [32] and remain energy [4] are also used to derive rebroadcast probability.…”

Section: Related Workmentioning

confidence: 99%

Trust-Based Probabilistic Broadcast Scheme for Mobile Ad Hoc Networks

Zhang

et al. 2020

IEEE Access

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The overhead caused by broadcast schemes cannot be neglected in mobile ad hoc networks. It is known that the probabilistic broadcast scheme is an effective approach to reduce overhead, in which nodes forward packets with a probability to reduce redundant retransmissions. In hostile environments, malicious nodes degrade network efficiency, and they should be prevented from route discovery and data transmission. In this case, routing packets forwarded by malicious nodes are redundant. This paper presents a Trust-based Probabilistic Broadcast scheme (TPB) focusing on reducing overhead, especially caused by malicious nodes, in which rebroadcast probability is determined based on nodes' trustworthiness. In order to obtain nodes' trust level, a lightweight trust management model is designed based on direct and recommended trust evidence. According to nodes' trust level, rebroadcast delay is calculated for rearranging the rebroadcast order of routing packets. Furthermore, a novel method based on nodes' trustworthiness is proposed to calculate rebroadcast probability, which prevents untrusted nodes from route discovery. The proposed trustbased probabilistic broadcast scheme is incorporated with existing routing protocol and its performance is evaluated by simulations. The numerical results show that the proposed scheme can secure network communication and reduce the routing overhead. INDEX TERMS Mobile ad hoc network, routing overhead, probabilistic broadcast, trust evaluation. I. INTRODUCTION A mobile ad hoc network (MANET) is a decentralized wireless network, which is composed of some mobile nodes spontaneously. The characteristics such as easy deployment, dynamic topology, self-configuration and multi-hop communication promote MANET based applications increasing demanded in many civilian and military fields, ranging from providing emergency communication in natural disasters and transmitting critical information on the battlefield. However, the performance of MANET is susceptible to routing overhead due to resource constraints in terms of wireless resource and computing power. Furthermore, MANET is vulnerable to attacks from malicious nodes because there is no centralized The associate editor coordinating the review of this manuscript and approving it for publication was Xu Chen.

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“…In [13], dynamically adjusting the probability of rebroadcast depending on the density of the nodes (i.e., the number of adjacent nodes) was suggested; the node in a dense area rebroadcasts frames with a low probability to mitigate the redundancy whereas a high value of probability is used in a sparse area to improve the reachability of frames. According to [14,15,16], the probability of rebroadcasting is calculated by considering the additional coverage due to it as well as the degree of connectivity, which is analogous to the number of adjacent nodes. Subsequently, if a frame can be delivered to more adjacent nodes, it is preferentially transmitted.…”

Section: Statement Of the Problemmentioning

confidence: 99%

An Efficient Relayed Broadcasting Based on the Duplication Estimation Model for IoT Applications

Kim

Park

2019

Sensors

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In this paper, we consider relay-based broadcasting in wireless ad hoc networks, which can enable various emerging services in the Internet of Things (IoT). In this kind of traffic dissemination scheme, also known as flooding, all the nodes not only receive frames but also rebroadcast them. However, without an appropriate relay suppression, a broadcast storm problem arises, i.e., the transmission may fail due to severe collisions and/or interference, many duplicate frames are unnecessarily transmitted, and the traffic dissemination time increases. To mitigate the broadcast storm problem, we propose a reasonable criterion to restrict the rebroadcasting named the duplication ratio. Based on this, we propose an efficient mechanism consisting of duplication suppression and re-queuing schemes. The former discards duplicate frames proactively in a probabilistic manner to decrease the redundancy whereas the latter provides a secondary transmission opportunity reactively to compensate for the delivery failure. Moreover, to apply the duplication ratio practically, we propose a simple method to approximate it based on the number of adjacent nodes. The simulation study confirms that the proposed mechanism tightly ensured the reliability and decreased the traffic dissemination time by up to 6-fold compared to conventional mechanisms.

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A Neighbor-Based Probabilistic Broadcast Protocol for Data Dissemination in Mobile IoT Networks

Cited by 41 publications

References 23 publications

Enabling Computational Intelligence for Green Internet of Things: Data-Driven Adaptation in LPWA Networking

Enabling Computational Intelligence for Green Internet of Things: Data-Driven Adaptation in LPWA Networking

Trust-Based Probabilistic Broadcast Scheme for Mobile Ad Hoc Networks

An Efficient Relayed Broadcasting Based on the Duplication Estimation Model for IoT Applications

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