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Wireless sensor networks (WSNs) often suffer from the disrupted connectivity due to unpredictable wireless channels, early depletion of node energy, and physical tampering by hostile users. The existence of a disconnected segment of the network referred to as network cut, leads to data loss, wasted power consumption, and congestion in the WSN. However, existing approaches to network cut detection...
In their nature, wireless sensor nodes are resource restrained, such as low power capabilities and small memory. These limitations inevitably affect secure energy-efficient wireless sensor networks protocols in such way that some cryptographic algorithms such as asymmetric algorithms are not convenient to be used in wireless sensor nodes. In this paper, based on perturbation-based efficient confidentiality...
In this paper, Spatial Correlation-based Distributed Compressed Sensing (SCDCS) model and algorithm are presented in Wireless Sensor Networks (WSN), where spatial correlation and joint sparse models between the sensor nodes can be exploited in order to compress and reconstruct sensor observations in an energy efficient manner based on coding/decoding algorithm of SCDCS. Finally, the analysis of relationship...
Wireless sensor network is becoming increasingly important in applications such as environmental monitoring and traffic control. They collect a large amount of sensor data, e.g., temperature and pressure. Nearby sensor nodes monitoring an environmental feature typically measure correlated values. In this paper, we propose a new location-aware-based data clustering (LABDC) algorithm to analyze the...
Todaypsilas P2P media streaming application periodically suffers from routing hotspots, a.k.a., flash crowds. A routing hotspot is typically created by an unanticipated new event that triggers an unanticipated surge of users that request streaming service from some particular peers, temporarily overwhelming the peerpsilas delivery capabilities. In this paper, we consider how to discover the routing...
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