Content centric routing in IoT networks and its integration in RPL

Jin, Yichao; Görmüş, Sedat; Kulkarni, Parag; Sooriyabandara, Mahesh

doi:10.1016/j.comcom.2016.03.005

Cited by 87 publications

(33 citation statements)

References 18 publications

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“…Next, they proposed an efficient heuristic algorithm to tackle the problem. To diminish energy consumption, the proposed algorithms in [23][24][25] exploited the similarity of the sensed data by the sensors.…”

Section: Related Workmentioning

confidence: 99%

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Reliable data gathering in the Internet of Things using artificial bee colony

Najjar-Ghabel¹,

Yousefi²,

Farzinvash³

2018

Turk J Elec Eng & Comp Sci

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The Internet of Things (IoT) technology enables physical devices to communicate with each other for preparing, gathering, and sharing hazard warnings or critical information without human intervention. With respect to emergency applications of IoT technology, an essential issue is to provide an efficient and robust scheme for data gathering. The proposed solution in the existing approaches is to construct a spanning tree over the IoT devices and collect data using the tree. The shortcoming of these algorithms is that they do not take into account the probability of device mobility or failure. In such cases, the spanning tree is split, and it becomes impossible to deliver critical data to the base station on time. In this paper, we propose a reliable spanning tree construction algorithm, which is called reliable spanning tree construction in IoT (RST-IoT). Our algorithm utilizes the artificial bee colony algorithm to generate proper trees. In this method, hop count distances of the devices from the base station, residual energies of the devices, and their mobility probabilities are considered to measure the appropriateness of the trees. Moreover, the proposed algorithm generates a number of trees instead of a single one. These trees are arranged according to their preferences and used for data gathering in succession. Each tree is employed for data gathering upon splitting the preceding one. The simulation results show that RST-IoT improves the reliability of data gathering in emergency applications compared to the previous approaches. IntroductionThe Internet of Things (IoT) is a novel paradigm that considers the interaction of smart things. The main idea of IoT is that smart things or objects, such as sensors, actuators, smart phones, and RFID tags, are spread everywhere ubiquitously. These devices have interactions with each other and are able to collect and exchange data. The IoT paradigm covers a broad range of applications, comprising environmental monitoring [1, 2], transportation services, smart cities [3], emergency situation explorers, and industrial processes controllers [4].Reliable data gathering is an important issue to support emergency applications under IoT technology. The devices send the critical information to the base station for processing and decision making. Furthermore, the base station sends some commands to the devices under its control [5,6]. Transferring important data over the network requires a reliable backbone. The common approach for data gathering in IoT systems is to construct a spanning tree over the available devices [7][8][9][10][11]. The drawback of the existing algorithms is the unreliability of their generated trees. This shortcoming is mostly due to their failure in considering the characteristics of IoT devices. These devices are usually mobile and equipped with low-power batteries. Therefore, it is possible that the spanning tree is split because of the mobility of some devices or their energy exhaustion.

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Section: Related Workmentioning

confidence: 99%

“…In [23], the nodes send the current sensed data toward the base station if the difference from the previously sent data exceeds a predefined threshold. In the scheme proposed by Jin et al [24], the correlated data are routed to common relay nodes. This raises the possibility of performing data aggregation.…”

Section: Related Workmentioning

confidence: 99%

Reliable data gathering in the Internet of Things using artificial bee colony

Najjar-Ghabel¹,

Yousefi²,

Farzinvash³

2018

Turk J Elec Eng & Comp Sci

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“…In recent times, most of the research has been carried out to reduce the consumption of the energy and prolongs the network lifetime. Different authors and researchers proposed the solution such as clustering, routing, scheduling and many more to the above‐stated problem to improve the energy efficiency of IoT based WSN. In this paper, some novel contributions are proposed.…”

Section: Introductionmentioning

confidence: 99%

Load balanced fuzzy‐based unequal clustering for wireless sensor networks assisted Internet of Things

Agrawal

Pandey

2020

Engineering Reports

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The fundamental unit of the Internet of Things (IoT) is wireless sensor networks (WSNs). Due to their low cost and prospective use, WSNs have drawn interest in various applications over the last years. Since sensor nodes are equipped with limited battery, it is vital energy consumption be carefully monitored. Therefore, minimizing the node energy consumption is clearly essential to extend the network lifetime. In this paper, a fuzzy‐based unequal clustering protocol is proposed. Not only does the proposed protocol prolong the network lifetime, but it also balances the load among nodes. Former protocols do not consider load balancing. Fuzzy logic is employed considering four inputs: residual energy, distance to a base station, node degree and centrality. To validate its efficiency, the novel protocol is compared with other relevant protocols. The obtained results prove that the protocol here proposed outperforms other state‐of‐the‐art protocols.

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“…However, targetless requests to acquire information and connection availability is increasing in the IoT environment, as we introduced in Section 4.2. There have already been some researches [104][105][106] [106] caches transient data in the routers to reduce the delay by data item lifetime. However, we propose a new following algorithm, which utilizes the ID of the things rather than IP address-based routing from the core network, and it can be an example of possible suggestion to overcome this challenge.…”

Section: Routingmentioning

confidence: 99%

Future of IoT Networks: A Survey

2017

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Abstract:The introduction of mobile devices has changed our daily lives. They enable users to obtain information even in a nomadic environment and provide information without limitations. A decade after the introduction of this technology, we are now facing the next innovation that will change our daily lives. With the introduction of the Internet of Things (IoT), our communication ability will not be restricted to only mobile devices. Rather, it will expand to all things with which we coexist. Many studies have discussed IoT-related services and platforms. However, there are only limited discussions about the IoT network. In this paper, we will thoroughly analyze the technical details about the IoT network. Based on our survey of papers, we will provide insight about the future IoT network and the crucial components that will enable it.

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Content centric routing in IoT networks and its integration in RPL

Cited by 87 publications

References 18 publications

Reliable data gathering in the Internet of Things using artificial bee colony

Reliable data gathering in the Internet of Things using artificial bee colony

Load balanced fuzzy‐based unequal clustering for wireless sensor networks assisted Internet of Things

Future of IoT Networks: A Survey

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