Multiple-Metric Hybrid Routing Protocol for Heterogeneous Wireless Access Networks

Cao, Lijuan; Sharif, Kashif; Wang, Yu; Dahlberg, Teresa A.

doi:10.1109/ccnc.2009.4784894

Cited by 11 publications

(15 citation statements)

References 12 publications

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“…From Fig. 1, we can establish that the stripped down version utilizes less control bits as compared to Anycast AODV [7] and classical AODV.…”

Section: Simulation and Performance Evaluationmentioning

confidence: 90%

“…The objective of these initial experiments is to establish that the proposed light weight version of [7] can run over low capacity sensor nodes. The sensors are randomly positioned with a uniform distribution across a 1000 x 1000m area.…”

Section: Simulation and Performance Evaluationmentioning

confidence: 99%

“…Some major functionalities from classical AODV have been removed which were part of [7] [8], and are not required by sensor networks. These include: a) Precursor & Black Lists, b) RRER Acknowledgment Packets, c) Modification to Sequence Number updates, and d) the routing table at each node is limited to destination, next hop, hop count/path metric, limited state flags, and sequence number.…”

Section: Removed Functionalitiesmentioning

confidence: 99%

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Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks

Sharif

Dahlberg

Cao

2010

2010 7th IEEE Consumer Communications and Networking Conference

Self Cite

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Applications for wireless sensor networks have grown enormously over the past few years. Routing and sink discovery protocols designed for ad hoc networks do not adapt to sensor networks, and generic sensor network routing techniques are not optimal for all scenarios. We propose a light weight routing protocol to discover mobile sinks in battle-field operations or large terrains. Initial experimentation shows promising results in reduction of control over head, good data delivery with support of multi-metric path selection.

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“…From Fig. 1, we can establish that the stripped down version utilizes less control bits as compared to Anycast AODV [7] and classical AODV.…”

Section: Simulation and Performance Evaluationmentioning

confidence: 90%

Section: Simulation and Performance Evaluationmentioning

confidence: 99%

Section: Removed Functionalitiesmentioning

confidence: 99%

See 1 more Smart Citation

Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks

Sharif

Dahlberg

Cao

2010

2010 7th IEEE Consumer Communications and Networking Conference

Self Cite

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“…The authors in [7] addressed the importance of defining new metrics for routing decisions in heterogeneous networks. In [18] a hybrid proactive/reactive anycast routing protocol is proposed to discover the most suitable AP based on the path cost metrics, including hop count, energy cost, and traffic load. A WLANWiMAX routing protocol is developed in [19] where packet forwarding over the more stable WiMAX links is made in a topology-based manner, while position-based routing is exploited over WLAN links.…”

Section: Related Workmentioning

confidence: 99%

“…Multi-technology solutions are considered within the limited work on the area of multi-technology routing in heterogeneous networks [7], [18]- [19]. The authors in [7] addressed the importance of defining new metrics for routing decisions in heterogeneous networks.…”

Section: Related Workmentioning

confidence: 99%

Modeling dynamics of complex wireless networks

Glisic

Lorenzo

Kovacevic

et al. 2013

2013 International Conference on High Performance Computing &Amp; Simulation (HPCS)

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In this paper, we present a unified model for the analysis of a number of wireless network characteristics leading to the existence of uncertain links. The probabilistic characterization of the link uncertainty enables the random graph representation of the network topology and use of existing tools of complex networks in the system analysis. In the analysis, the multi-hop concept is adopted to model future networks with dense user population and enable mobile to mobile (m2m) connections. The potential users acting as relays may belong to different operators and as such may or may not want to cooperate. Consequently, the existence of those links will be uncertain. Some subareas of the cell will be covered by other technologies such as femto cell or WLAN enabling the possibility for the cellular system to offload the traffic. The existence of those links depends on the relaying distance and coverage of the WLAN, as well as the cooperation agreement between the operators. Our model includes also the possibility to consider green networks where the link uncertainty results from the effort to prevent the radiations from the terminal towards the user. In addition, security requirements may not accept every available relay. For this reason, the existence of the link, even when physically present, will be also uncertain. In such a complex network, cognitive links are also available with limited certainty due to unpredictable activity of the primary user. The uncertain and time varying existence of the links and nodes results into a Dynamic Network Architecture (DNA). All these characteristics of the network are incorporated in a unified model enabling a tractable analysis of the overall system performance.Keywords-Complex network; green network; heterogeneous network; high dense network; link and node dynamic network architectures; multi-operator; multi-technology; multi-hop relaying.

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Multi‐Hop Cellular Networks

Glisic

2016

Advanced Wireless Networks

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Multiple-Metric Hybrid Routing Protocol for Heterogeneous Wireless Access Networks

Cited by 11 publications

References 12 publications

Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks

Anycast Based Lightweight Routing Protocol for Mobile Sink Discovery in Sensor Networks

Modeling dynamics of complex wireless networks

Multi‐Hop Cellular Networks

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