MAC-aware routing metrics for the internet of things

Marco, Piergiuseppe Di; Athanasiou, George; Mekikis, Prodromos-Vasileios; Fischione, Carlo

doi:10.1016/j.comcom.2015.05.010

Cited by 44 publications

(24 citation statements)

References 19 publications

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“…To address this problem, headof-line delays can be used to act as the link weights instead of queue lengths [95], [96]. For a multihop network with a contention-based MAC protocol, [97] develops a new metric, called Q-metric, to jointly optimize the routing and MAC layer parameters with the objective of optimizing the energy-delay trade-off.…”

Section: Routing Layer Techniquesmentioning

confidence: 99%

Low-Latency Networking: Where Latency Lurks and How to Tame It

et al. 2019

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While the current generation of mobile and fixed communication networks has been standardized for mobile broadband services, the next generation is driven by the vision of the Internet of Things and mission critical communication services requiring latency in the order of milliseconds or submilliseconds. However, these new stringent requirements have a large technical impact on the design of all layers of the communication protocol stack. The cross layer interactions are complex due to the multiple design principles and technologies that contribute to the layers' design and fundamental performance limitations. We will be able to develop low-latency networks only if we address the problem of these complex interactions from the new point of view of sub-milliseconds latency. In this article, we propose a holistic analysis and classification of the main design principles and enabling technologies that will make it possible to deploy low-latency wireless communication networks. We argue that these design principles and enabling technologies must be carefully orchestrated to meet the stringent requirements and to manage the inherent trade-offs between low latency and traditional performance metrics. We also review currently ongoing standardization activities in prominent standards associations, and discuss open problems for future research.

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Section: Routing Layer Techniquesmentioning

confidence: 99%

Low-Latency Networking: Where Latency Lurks and How to Tame It

et al. 2019

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“…It extends the ETX metric by considering the packet loss which may be generated by the MAC contention. The authors of [33] conducted a simulation and demonstrated that the reliability metric is better than the ETX metric. The author of [34] addressed traditional routing protocols for Adhoc networks such as AODV, DSR, and OLSR [35] and discussed their performance in an IoT environment.…”

Section: Iot Routing Protocolsmentioning

confidence: 99%

“…The simulation results show that CASCR has low energy consumption. The authors of [33] involved in developing a cross-layer protocol to meet the performance parameters of IoT applications: minimum date delivery rate, and maximum packet delay. The proposed protocol runs on the top of IEEE 802.15.4.…”

Section: Iot Routing Protocolsmentioning

confidence: 99%

Energy-Efficient Content-Based Routing in Internet of Things

Chelloug¹

2015

JCC

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The convergence of the Internet, sensor networks, and Radio Frequency Identification (RFID) systems has ushered to the concept of Internet of Things (IoT) which is capable of connecting daily things, making them smart through sensing, reasoning, and cooperating with other things. Further, RFID technology enables tracking of an object and assigning it a unique ID. IoT has the potential for a wide range of applications relating to healthcare, environment, transportation, cities… Moreover, the middleware is a basic component in the IoT architecture. It handles heterogeneity issues among IoT devices and provides a common framework for communication. More recently, the interest has focusing on developing publish/subscribe middleware systems for the IoT to allow asynchronous communication between the IoT devices. The scope of our paper is to study routing protocols for publish/subscribe schemes that include content and context-based routing. We propose an Energy-Efficient Content-Based Routing (EECBR) protocol for the IoT that minimizes the energy consumption. The proposed algorithm makes use of a virtual topology that is constructed in a centralized manner and then routes the events from the publishers to the intended interested subscribers in a distributed manner. EECBR has been simulated using Omnet++. The simulation results show that EECBR has a significant performance in term of the energy variance compared to the other schemes.

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“…Numerous devices in MAC and other protocols are industrialized to ensure the function of WN. Marco et al [29] has defined MAC as well as forwarding rules to IoT that was given using the objective on the IEEE 802.15.4 MAC as well as IETF RPL procedures. The routing parameters and MAC parameters are permitted in the projected system to upsurge the performance.…”

Section: Related Workmentioning

confidence: 99%

“…Under such instance, proper scheduling of energy utilization is required especially when the sensors are distantly connected [16][17]. Numerous nodes transfer multiple data from node to the base station about the same event, which leads to transfer redundant data [18][19]. Thus, the consumption of energy associated with the network become high.…”

Section: Introductionmentioning

confidence: 99%

An Evolutionary Secure Energy Efficient Routing Protocol in Internet of Things

Reddy¹,

Babu²

2017

IJIES

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Abstract:Recently, Internet of Things (IoT) devices are highly utilized in diverse fields such as environmental monitoring, industries, smart home etc. Under such instance, a cluster head is selected among the diverse IoT devices of wireless Sensor Network (WSN) based IoT network to maintain the reliable network with efficient data transmission. To accomplish the efficient cluster head selection, we have used Fuzzy C-Means (FCM) clustering algorithm. Therefore, it is necessary to implement secure energy aware routing protocol in IoT. This paper proposed a novel method with the combination of Optimal Secured Energy Aware Protocol (OSEAP) and Improved Bacterial Foraging Optimization (IBFO) algorithm. The aforesaid challenges against the secure energy awareness objective under IoT are not yet dealt by any researchers. Furthermore, the Optimal Secured Energy Aware Protocol (OSEAP) and Improved Bacterial Foraging Optimization (IBFO) algorithm is one of the best methods to save more energy with security among the nodes. The performance analysis in terms of delay, throughput, and energy determined by comparing the proposed method with the existing method Secure Energy aware routing protocol (SEAP). Thus, the analysis of our implementation reveals the superior performance of the proposed method.

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MAC-aware routing metrics for the internet of things

Cited by 44 publications

References 19 publications

Low-Latency Networking: Where Latency Lurks and How to Tame It

Low-Latency Networking: Where Latency Lurks and How to Tame It

Energy-Efficient Content-Based Routing in Internet of Things

An Evolutionary Secure Energy Efficient Routing Protocol in Internet of Things

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