Exploiting Ubiquitous Data Collection for Mobile Users in Wireless Sensor Networks

Li, Zhenjiang; Liu, Yunhao; Li, Mo; Wang, Jiliang; Cao, Zhichao

doi:10.1109/tpds.2012.92

Cited by 45 publications

(21 citation statements)

References 25 publications

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“…A link exists if it's length is within the communication range of radio. In our previous work [10], [9], we find that most of links, which either have a good PRR (Packet Reception Ratio) more than 90%, or have a bad PRR less than 10%. Therefore, in this work, the basic idea is to use one flooding probe to check all the links.…”

Section: Main Designmentioning

confidence: 64%

“…Existing inference-based diagnosis schemes for WSNs like Sympathy [15] or Emstar [5] rely heavily on an add-in protocol that periodically reports a large amount of network information from individual sensor nodes to the sink, introducing huge overhead to the resource constrained and traffic sensitive sensor network. In order to minimize the overhead, some researchers propose to establish inference models by marking the data packets [11], [13], 9 and then parse the results at the sink to infer the network status, or conduct the diagnosis process in local areas [12]. Steinder and Sethi [18] apply Belief Network with the bipartite graph to represent dependencies among links and end to end connections, then the root causes can be deduced by conducting inference on the Belief Network.…”

Section: Performance Evaluationmentioning

confidence: 99%

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Link Scanner: Faulty link detection for wireless sensor networks

Liu

Xiao

et al. 2013

2013 Proceedings IEEE INFOCOM

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Abstract-In large-scale wireless sensor networks, it proves very difficult to dynamically monitor system degradation and detect bad links. Faulty link detection plays a critical role in network diagnosis. Indeed, a destructive node impacts its links' performances including transmitting and receiving. Similarly, other potential network bottlenecks such as network partition and routing errors can be detected by link scan. Since sequentially checking all potential links incurs high transmission and storage cost, existing approaches often focus on links currently in use, while overlook those unused yet ones, thus fail to offer more insights to guide following operations. We propose a novel scheme Link Scanner (LS) for monitoring wireless links at real time. LS issues one probe message in the network and collects hop counts of the received probe messages at sensor nodes. Based on the observation that faulty links can result in mismatch between the received hop counts and the network topology, we are able to deduce all links' status with a probabilistic model. We evaluate our scheme by carrying out experiments on a testbed with 60 TelosB motes and conducting extensive simulation tests. A real outdoor system is also deployed to verify that LS can be reliably applied to surveillance networks.

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Section: Main Designmentioning

confidence: 64%

Section: Performance Evaluationmentioning

confidence: 99%

Link Scanner: Faulty link detection for wireless sensor networks

Liu

Xiao

et al. 2013

2013 Proceedings IEEE INFOCOM

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“…Innetwork data aggregation and fusion used by different protocols under different topologies reduces energy consumption while data forwarding. [13], [17][18], [25][26][27] consider residual energy of node or path to reduce energy consumption while data dissemination in the network. Often aggregating data at a single node is erroneous due several network constraints.…”

Section: Comparison and Discussionmentioning

confidence: 99%

“…Most widely used topologies are cluster based for aggregating and fusing the spatially correlated data [21][22][23]. Tree based data collection creates a hierarchy of nodes and aggregation of gathered data is performed at each level [24][25][26][27]. Coversets or backbone formation methods are implemented to avoid any loss due to link failure in tree based topology.…”

Section: Topologymentioning

confidence: 99%

Comparison of Energy Efficient Data Collection Techniques in Wireless Sensor Network

Rohankar

Katti

Kumar

2015

Procedia Computer Science

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Application of wireless devices is increasing day-by-day in all areas of human life throughout the world. Most of these devices are based on tiny sensors that collect information from surrounding environment automatically without any human intervention when they are deployed in the environment thus creating wireless sensor networks. These tiny sensors are highly energy constrained due to their limited battery, storage, processing power and communication capacity. The constraint makes 'Energy Efficiency' one of the most investigated themes among researchers in wireless sensor networks. In the past, various energy efficient data collection techniques have been suggested in the literature. This paper presents a qualitative review of recent advances in data collection techniques in WSN. The review classifies each of the considered techniques based on underlying topology. A second level categorization of these techniques is done based on energy saving scheme used. A comparison of these techniques is provided for qualitatively evaluating these techniques. The review concludes with a discussion on limitations of the considered techniques.

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“…For example, the sensor placement problem [58] and routing protocol design [59] are studied by Matlab. Sometimes, the collected traces from the real deployments [60,61] are imported into the simulation models to reproduce the transmission behaviors of links and paths in WSNs. A discrete event simulator is developed in Java to study the MAC performance of WSNs [62].…”

Section: Network Simulators With Node Modelsmentioning

confidence: 99%

Modeling and simulation of networked low-power embedded systems: a taxonomy

Mieyeville

Navarro

et al. 2014

J Wireless Com Network

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Simulation has been widely adopted for the evaluation of novel protocols or other designs for networked low-power embedded systems, especially for wireless sensor networks (WSNs). A large number of simulation tools have been developed for WSNs in the past few years. However, different tools may emphasize on different features. For example, general network simulators mainly focus on the high-level performance evaluation with certain assumptions, while some SystemC-based simulators have been developed recently to realize the hardware and software co-design of sensor node at the system level. Therefore, it is necessary to study the different modeling methodologies and to distinguish the various features of the existing WSN simulators. In this paper, we propose a taxonomy that categorizes the existing simulation tools into four groups, i.e., network simulators with node models, network simulators with node emulators, node system simulator with network models, and node emulators with network models. To demonstrate the rationality and usability of the proposed taxonomy, we use it to conduct a survey of the existing simulation tools. This study is intended to be comprehensive to cover all important simulation tools.

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Exploiting Ubiquitous Data Collection for Mobile Users in Wireless Sensor Networks

Cited by 45 publications

References 25 publications

Link Scanner: Faulty link detection for wireless sensor networks

Link Scanner: Faulty link detection for wireless sensor networks

Comparison of Energy Efficient Data Collection Techniques in Wireless Sensor Network

Modeling and simulation of networked low-power embedded systems: a taxonomy

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