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Author: search.filters.author.Balasingham, IlangkoSubject: search.filters.subject.Wireless Sensor Networks

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    CoP4V : Context-Based Protocol for Vehicle's Safety in Highways Using Wireless Sensor Networks
    (IEEE, 2009-04) Subramaniana, Sattanathan; Djenouri, Djamel; Sindre, Guttorm; Balasingham, Ilangko
    Safety is evergreen vital criteria for road traffic. We propose an infrastructureless solution based on contexts to increase safety of vehicle. Contexts characterize and track the moving environment of a vehicle. Here, environment means the vehiclepsilas own status like geographical position, break-controlpsilas functional status, driverpsilas status etc., and the status of neighboring vehicles. Contexts make use of wireless sensors for getting the environmental data. Sensors feed their data continuously to contexts. Contexts keep them as system understandable information. The status of a vehicle is continuously broadcasted to other vehicles. Safety-decisions are derived based on contexts that are available in a vehicle. We have also provided an algorithm for our context-based solution. Finally, safety calculations are given for overtaking decisions through some linear equations.
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    Traffic-Differentiation-Based Modular QoS Localized Routing for Wireless Sensor Networks
    (IEEE Computer Society, 2011-06) Djenouri, Djamel; Balasingham, Ilangko
    A new localized quality of service (QoS) routing protocol for wireless sensor networks (WSN) is proposed in this paper. The proposed protocol targets WSN's applications having different types of data traffic. It is based on differentiating QoS requirements according to the data type, which enables to provide several and customized QoS metrics for each traffic category. With each packet, the protocol attempts to fulfill the required data-related QoS metric(s) while considering power efficiency. It is modular and uses geographical information, which eliminates the need of propagating routing information. For link quality estimation, the protocol employs distributed, memory and computation efficient mechanisms. It uses a multisink single-path approach to increase reliability. To our knowledge, this protocol is the first that makes use of the diversity in data traffic while considering latency, reliability, residual energy in sensor nodes, and transmission power between nodes to cast QoS metrics as a multiobjective problem. The proposed protocol can operate with any medium access control (MAC) protocol, provided that it employs an acknowledgment (ACK) mechanism. Extensive simulation study with scenarios of 900 nodes shows the proposed protocol outperforms all comparable state-of-the-art QoS and localized routing protocols. Moreover, the protocol has been implemented on sensor motes and tested in a sensor network testbed.