DLS: A dynamic local stitching mechanism to rectify transmitting path fragments in wireless sensor networks

Yang, Ting; Sun, Youxian; Taheri, Javid; Zomaya, Albert Y.

doi:10.1016/j.jnca.2012.05.012

Cited by 17 publications

(13 citation statements)

References 24 publications

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“…These mechanisms are intended to add multipath routing capabilities to the networks, thus ensuring connectivity between nodes even when a link or node fails. A good example of such mechanisms is [ 9 ], where the authors propose two algorithms to repair broken paths in mesh topologies recomputing only small parts of the topological structure where the broken links are located. This efficient route recovery mechanism consumes less energy and uses a smaller amount of control packets than other similar algorithms.…”

Section: Related Workmentioning

confidence: 99%

A Comparative Study of Anomaly Detection Techniques for Smart City Wireless Sensor Networks

Garcia-Font

Garrigues

Rifà-Pous

2016

Sensors

107

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In many countries around the world, smart cities are becoming a reality. These cities contribute to improving citizens’ quality of life by providing services that are normally based on data extracted from wireless sensor networks (WSN) and other elements of the Internet of Things. Additionally, public administration uses these smart city data to increase its efficiency, to reduce costs and to provide additional services. However, the information received at smart city data centers is not always accurate, because WSNs are sometimes prone to error and are exposed to physical and computer attacks. In this article, we use real data from the smart city of Barcelona to simulate WSNs and implement typical attacks. Then, we compare frequently used anomaly detection techniques to disclose these attacks. We evaluate the algorithms under different requirements on the available network status information. As a result of this study, we conclude that one-class Support Vector Machines is the most appropriate technique. We achieve a true positive rate at least 56% higher than the rates achieved with the other compared techniques in a scenario with a maximum false positive rate of 5% and a 26% higher in a scenario with a false positive rate of 15%.

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Section: Related Workmentioning

confidence: 99%

A Comparative Study of Anomaly Detection Techniques for Smart City Wireless Sensor Networks

Garcia-Font

Garrigues

Rifà-Pous

2016

Sensors

107

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“…Recently research focus is shifted toward energy e cient fault tolerant routing algorithms. One such algorithm DLS (Dynamic local stitching) is proposed recently in [87]. DLS aims to repair broken transmission paths in WSN, specially, in harsh environments comprising unattended sensor nodes with unreliable wireless transmission channels.…”

Section: Duty Cyclingmentioning

confidence: 99%

“…DLS, with its fewer overhead packets rectifies broken path with a lower latency compared to other routing algorithms. Figure 11: Energy consumption comparison of di↵erent routing schemes with respect to percentage of faulty nodes [87] Geographical Adaptive Fidelity (GAF) [17] and Geographical Random Forwarding (GeRaF) [18] are typical examples based on location driven approaches. The connectivity driven approach on the other hand, are generally more preferred protocols.…”

Section: Duty Cyclingmentioning

confidence: 99%

Energy management in Wireless Sensor Networks: A survey

Khan¹,

Qureshi²,

Iqbal

2015

Computers & Electrical Engineering

206

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International audienceEnergy management in Wireless Sensor Networks (WSNs) is of paramount importance for the remotely deployed energy stringent sensor nodes. These nodes are typically powered by attached batteries. Several battery-driven energy conservation schemes are proposed to ensure energy efficient network operation. The constraints associated to the limited battery capacity shifted the research trend towards finding alternate sources by harvesting ambient energy. This survey presents a high level taxonomy of energy management in WSNs. We analyze different battery-driven energy consumption based schemes and energy harvesting based energy provisioning schemes. We also highlight the recent breakthrough of wireless energy transference to a sensor node as an alternative to typical batteries. We recommend taking into account recent energy provisioning advancements in parallel with the traditional energy conservation approaches for a sensor network while designing energy efficient schemes

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“…Other factors that may affect network connectivity and communication among sensor nodes are fading, signal strength, obstacles, weather conditions, interference, and so forth [7,8]. An immutable topology structure is not enough for the WSNs, and any dynamic change will break original optimization and reduce the network performance.…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

A Betweenness Calibration Topology Optimal Control Algorithm for Wireless Sensor Networks

Yang

Lin

Yuan

2013

International Journal of Distributed Sensor Networks

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In self-organized wireless sensor networks (WSNs), any two sensor nodes can connect if they are placed in each other's communication range. Therefore, the physical topology of WSNs is usually a strongly connected topology. Sensor nodes should frequently receive and process data from their large number of neighbors, which will consume great amounts of energy. Shocking wireless channel collision also causes low throughput and high loss packets ratio during data transmission. To improve the transmission performance and save scarce energy, a logical topology generating from the physical one is necessary for the selforganized WSNs. Based on the complex network theory, this paper proposed a novel betweenness addition edges expansion algorithm (BAEE). With betweenness calibration, BAEE algorithm expanded the minimum-cost edges to optimize the network topology. Two performance metrics-connectivity functions, robustness function ( ) and efficiency function ( ), were utilized to evaluate the network capability of the robustness and invulnerability. ( ) is the parameter to measure the topology connectivity, and ( ) is the parameter to evaluate the network exchanging information capability. Based on the simulation under various random failures and intentional attack scenarios, BAEE can effectively optimize WSNs' topology and improve the network's robust connectivity and extremely efficient exchanging information capability.

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DLS: A dynamic local stitching mechanism to rectify transmitting path fragments in wireless sensor networks

Cited by 17 publications

References 24 publications

A Comparative Study of Anomaly Detection Techniques for Smart City Wireless Sensor Networks

A Comparative Study of Anomaly Detection Techniques for Smart City Wireless Sensor Networks

Energy management in Wireless Sensor Networks: A survey

A Betweenness Calibration Topology Optimal Control Algorithm for Wireless Sensor Networks

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