RadiaLE: A framework for designing and assessing link quality estimators in wireless sensor networks

Baccour, Nouha; Koubía, Anis; Jamía, Maissa Ben; Rosário, Denis; Youssef, Habib; Alves, Mário; Becker, Leandro Buss

doi:10.1016/j.adhoc.2011.01.006

Cited by 52 publications

(60 citation statements)

References 20 publications

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“…These properties allow a better understanding of the performance of protocols or applications in different environments. Other tools of this category are TRI-DENT [11] and RadiaLE [12]. Similar to IRIS, these tools offer a user interface allowing users to interact with the testing nodes that gather network parameters, to visualize the data packets and to process/analyze the data.…”

Section: Related Workmentioning

confidence: 99%

IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks

Figura¹,

Ceriotti²,

Shih³

et al. 2014

ICST Transactions on Ubiquitous Environments

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The design of ubiquitous computing environments is challenging, mainly due to the unforeseeable impact of real-world environments on the system performance. A crucial step to validate the behavior of these systems is to perform in-field experiments under various conditions. We introduce IRIS, an experiment management and data processing tool allowing the definition of arbitrary complex data analysis applications. While focusing on Wireless Sensor Networks, IRIS supports the seamless integration of heterogeneous data gathering technologies. The resulting flexibility and extensibility enable the definition of various services, from experiment management and performance evaluation to user-specific applications and visualization. IRIS demonstrated its effectiveness in three real-life use cases, offering a valuable support for in-field experimentation and development of customized applications for interfacing the end user with the system.

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Section: Related Workmentioning

confidence: 99%

IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks

Figura¹,

Ceriotti²,

Shih³

et al. 2014

ICST Transactions on Ubiquitous Environments

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“…In our study, we use LQI as the indicator of link quality between two nodes. Baccour et al [11] used PDR to classify links into three categories: namely connected (PDR> 90%), transitional (10% < PDR< 90%), and disconnected (PDR< 10%). Based on this, we define the bounds of good links and bad links by two threshold values: LQI Good and LQI Bad , whose values are determined by experiments.…”

Section: A Dynamic Forwarding Delay (Dfd)mentioning

confidence: 99%

Context-aware opportunistic routing in mobile ad-hoc networks incorporating node mobility

Zhao

Rosário

Braun

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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Abstract-Opportunistic routing (OR) employs a list of candidates to improve reliability of wireless transmission. However, list-based OR features restrict the freedom of opportunism, since only the listed nodes can compete for packet forwarding. Additionally, the list is statically generated based on a single metric prior to data transmission, which is not appropriate for mobile ad-hoc networks. This paper provides a thorough performance evaluation of a new protocol -Context-aware Opportunistic Routing (COR). The contributions of COR are threefold. First, it uses various types of context information simultaneously such as link quality, geographic progress, and residual energy of nodes to make routing decisions. Second, it allows all qualified nodes to participate in packet forwarding. Third, it exploits the relative mobility of nodes to further improve performance. Simulation results show that COR can provide efficient routing in mobile environments, and it outperforms existing solutions that solely rely on a single metric by nearly 20 -40 %.

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“…Existing beaconless routing protocols work on circle transmission range and assume that nodes are within transmission range. However, the vehicular environment is dynamic and wireless links are asymmetric [13]. In this context, we consider link quality between two vehicle nodes as part of dynamic forwarding delay (DFD) [29].…”

Section: Protocol Metricsmentioning

confidence: 99%

Beaconless Packet Forwarding Approach for Vehicular Urban Environment

2016

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Existing wireless technologies provide communication and information services to all fields of life. The one of the emerging and popular field is vehicular ad hoc networks, with its IntroductionVehicular ad hoc networks (VANETs) are expected to support the large spectrum of commercial and safety applications range from safety to comfort for travelers. The main objective of vehicular communication is providing real-time road information of dangerous situations in advance to drivers such as accident detection, weather information. However, due to high vehicle mobility, the vehicle nodes are frequently changing their positions and its impact in the shape of link disconnection, network overhead, high transmission delay and low data packet delivery ratio issues [1]. In order to incorporated these issues, geographical routing protocols are more suitable solutions to ensure forward progress toward the destination by flooding messages with node position information such as greedy perimeter stateless routing (GPSR) [2], greedy perimeter coordinator routing (GPCR) [3], vehicle assisted data delivery (VADD) [4]. In these protoocls, the beacon messages are periodically broadcasted to inform one-hop neighbors location and presence by global positioning systems (GPSs). The result of regular beaconing messages, the wireless channel is more congested and packet collisions with communication overhead occur in the network. Although, the recovery strategies have been proposed to solve these issues, but these approaches are based on planner graph traversals, which are not suitable for high-velocity and urban environment. Without an effective multi-hop routing, these features are limited and have several complexities. Therefore, an effective routing protocol requires for in-time data delivery in vehicular netwokrs.To solve the frequent beaconing challenges in the network, various beaconless forwarding approaches have been proposed such as CBF [5], BRAVE [6], CoopGeo [7]. These beaconless approaches contain own and destination position in the data packet header and broadcast it to next one-hop neighbors. Afterwards, these approaches determine different routing metrics to find optimal forwarder in the network and deal with unique vehicular environment. The important point in beaconless protoocls is to select the appropriate routing metric to deal with vehciualr envirnemnt in their handshacke mechanism. In this paper, we proposed a beaconless packet forwarding (BPF) protocol, which is based on score function and self-election among vehicle nodes. The beaconless self-election forwarding is made in a way to

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RadiaLE: A framework for designing and assessing link quality estimators in wireless sensor networks

Cited by 52 publications

References 20 publications

IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks

IRIS: Efficient Visualization, Data Analysis and Experiment Management for Wireless Sensor Networks

Context-aware opportunistic routing in mobile ad-hoc networks incorporating node mobility

Beaconless Packet Forwarding Approach for Vehicular Urban Environment

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