Opportunistic routing with data fusion for multi-source wireless sensor networks

Li, Jianyu; Jia, Xinchun; Lv, Xiaojun; Han, Zongyuan; Liu, Jiankang; Jiang, Hao

doi:10.1007/s11276-018-1705-4

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…Since the OR protocols use the OR metrics, to avoid unnecessary literature searching, Table V lists the OR metrics with several OR protocol deployments alongside their paper references. Routing Metric Protocol EXOR [39], Economy [59], SOAR [41], MORE [27], CodeOR [66], XCOR [67] ETX O3 [206], SlideOR [207], CCACK [65], OMNC [208], Consort [58], MaxOPP [209], ORPL [210], CAOR [211], TORP [212], ORPSN [213], CAR [214], CORMAN [48] ExOR compact [215], NCOR [216], WBFL [217], E-MORE [218], ViMOR [219] EAX LCAR [47], OAPF [111] , ORDF [220]…”

Section: Or Metrics: a Quick Referencementioning

confidence: 99%

“…Routing Metric Protocol EXOR [39], Economy [59], SOAR [41], MORE [27], CodeOR [66], XCOR [67] ETX O3 [206], SlideOR [207], CCACK [65], OMNC [208], Consort [58], MaxOPP [209], ORPL [210], CAOR [211], TORP [212], ORPSN [213], CAR [214], CORMAN [48] ExOR compact [215], NCOR [216], WBFL [217], E-MORE [218], ViMOR [219] EAX LCAR [47], OAPF [111] , ORDF [220], ABF,SAF [119] [118] EATT MABF, SMAF [119] [118], CoRoute [221], CRAHN [222], PLASMA [113], ROMP [114], DSMA [223], COMO [224] EDC ORW [124] [125], ORPL [225], ORPL-DT [32] DOF [226], Staffetta [227], COF [96] M-MPP MPP [169], MaxPoS [172] PoS MaxASA, MinTT [172] [173], MPOS [228] FS * ORR [167], MORR [229] EPA EGOR…”

Section: Or Metrics: a Quick Referencementioning

confidence: 99%

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Opportunistic routing metrics: A timely one-stop tutorial survey

Abdollahi

Eshghi

Kelarestaghi

et al. 2020

Journal of Network and Computer Applications

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High-speed, low latency, and heterogeneity features of 5G, as the common denominator of many emerging and classic wireless applications, have put wireless technology back in the spotlight. Continuous connectivity requirement in low-power and wide-reach networks underlines the need for more efficient routing over scarce wireless resources, in multi-hp scenarios. In this regard, Opportunistic Routing (OR), which utilizes the broadcast nature of wireless media to provide transmission cooperation amongst a selected number of overhearing nodes, has become more promising than ever. Crucial to the overall network performance, which nodes to participate and where they stand on the transmission-priority hierarchy, are decided by userdefined OR metrics embedded in OR protocols. Therefore, the task of choosing or designing an appropriate OR metric is a critical one. The numerousness, proprietary notations, and the objective variousness of OR metrics can cause the interested researcher to lose insight and become overwhelmed, making the metric selection or design effort-intensive. While there are not any comprehensive OR metrics surveys in the literature, those who partially address the subject are non-exhaustive and lacking in detail. Furthermore, they offer limited insight regarding related taxonomy and future research recommendations. In this paper, starting with a custom tutorial with a new look to OR and OR metrics, we devise a new framework for OR metric design. Introducing a new taxonomy enables us to take a structured, investigative, and comparative approach to OR metrics, supported by extensive simulations. Exhaustive coverage of OR metrics, formulated in a unified notation, is presented with sufficient details. Self-explanatory, easy-to-grasp, and visual-friendly quick references are provided, which can be used independently from the rest of the paper. Finally, a new insightful framework for future research directions is developed. This tutorial-survey has been organized to benefit both generalists and OR specialists equally, and to be used not only in its entirety but selectively as well.

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Section: Or Metrics: a Quick Referencementioning

confidence: 99%

Section: Or Metrics: a Quick Referencementioning

confidence: 99%

Opportunistic routing metrics: A timely one-stop tutorial survey

Abdollahi

Eshghi

Kelarestaghi

et al. 2020

Journal of Network and Computer Applications

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“…Therefore, combining the opportunistic network [4] with the mobile social network [5,6] to form the opportunistic social network [7,8] has both the social characteristics of the social network and the data forwarding characteristics of the opportunistic network, which is a form of the social network's transition to offline materialization. The opportunistic social network adopts a "storage-carry-forward" [9,10] routing model and proposes that data forwarding can be achieved through the "opportunity exchange" [11][12][13] method. This communication relies on the movement of nodes and efficient forwarding algorithms, so that some nodes have the opportunity to act as relay nodes.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Multi-Scenario Routing Algorithm Based on Fuzzy Control Theory in Opportunistic Social Network

Chen

et al. 2020

Symmetry

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With the flourishing of big data and the 5G era, the amount of data to be transmitted in the communication process is increasing, and end-to-end communication in traditional social networks has been unable to meet the current communication needs. Therefore, in order to improve the success rate of data forwarding, social networks propose that the sender of the message should reasonably choose the next hop node. However, existing routing and forwarding algorithms do not take into account nodes that are live in different scenarios, and the applicable next hop node metrics are also different. These algorithms only consider the forwarding preferences of the nodes during working hours and do not consider the forwarding preferences of the nodes during non-working hours. We propose a routing algorithm based on fuzzy decision theory, which aims at a more accurate decision on selecting the next hop. A routing and forwarding algorithm based on fuzzy decision is proposed in this paper. This algorithm symmetrical divides scenes in opportunistic social networks into working time and non-working time according to real human activity. In addition, metrics are designed symmetrically for these two scenarios. Simulation results demonstrate that, in the best case, the proposed scheme presents an average delivery ratio of 0.95 and reduces the average end-to-end delay and average overhead compared with the epidemic routing algorithm, the EIMSTalgorithm, the ICMT algorithm, and the FCNSalgorithm.

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“…Moreover, there are many other routing protocols based on message replication [19], direct delivery [20], mobility prediction [21], phase division [22], and probability evaluation [23] that have been utilized in the OSNs. Meanwhile, profile-based routing protocols employ different social attributes of mobile users such as spatial and temporal mobility features, social bonds, social influence, or node similarity, to enhance transmission efficiency in the OSNs, which mainly focus on single or multiple attribute characteristics of message users such as hobbies and interests, selfish behavior, encounter history, or distance and location of node mobility [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Routing-Forwarding Control Scheme Based on an Intelligent Fuzzy Decision-Making System for Opportunistic Social Networks

et al. 2019

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Routing selection in opportunistic social networks is a complex and challenging issue due to intermittent communication connections among mobile devices and dynamic network topologies. The structural characteristics of opportunistic social networks indicate that the social attributes of mobile nodes play a significant role on data dissemination. To this end, in this paper, we propose an adaptive routing-forwarding control scheme (FPRDM) based on an intelligent fuzzy decision-making system. On the foundation of the conception of fuzzy inference logic, two techniques are used in the proposed routing algorithm. Information fusion of social characteristics of message users and node identification are implemented based on the fuzzy recognition strategy, and the fuzzy decision-making mechanism is applied to control message replication and optimize data transmission. Simulation results demonstrate that, in the best case, the proposed scheme presents an average delivery ratio of 0.8, reduces the average end-to-end delay by nearly 45% as compared with the Epidemic routing protocol, and lowers the network overhead by about 75% as compared to the Spray and Wait routing algorithm.

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Opportunistic routing with data fusion for multi-source wireless sensor networks

Cited by 10 publications

References 13 publications

Opportunistic routing metrics: A timely one-stop tutorial survey

Opportunistic routing metrics: A timely one-stop tutorial survey

A Comprehensive Multi-Scenario Routing Algorithm Based on Fuzzy Control Theory in Opportunistic Social Network

An Adaptive Routing-Forwarding Control Scheme Based on an Intelligent Fuzzy Decision-Making System for Opportunistic Social Networks

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