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Recently, sink mobility is introduced to balance energy consumption in WSNs. However, mobile sinks are required to inform potential sources about their new location information whenever necessary. Frequent location updates can cause both increased transmission traffic and rapid energy consumption. This paper presents a novel data-gathering scheme for WSNs with a single mobile sink to minimize the...
Wireless sensor networks are deployed in areas we are interested in to help users to retrieve raw data. Due to the limited power, it is desired that data retrieving routing protocols are energy efficient, and energy consumption can be balanced among all nodes so that lifetime of WSNs can be prolonged. In this paper, we propose a centralized clustering geographic energy aware routing (GEAR-CC) for...
Internet of Things involves many key technologies, one of which is wireless sensor networks. Based on the classical LEACH clustering algorithm combined with the characteristics of hybrid network topology and for saving node energy consumption and node mobility, this paper puts forward a new improved LEACH routing algorithms-Mobile Node selected cluster method and dynamic node routing algorithms (Dynamic...
This paper presents a method for SLAM in Robot and Wireless Sensor Network (WSN) System using Bayes framework. A mobile robot equipped with sensor measuring the range to WSN nodes by Received Signal Strength Indicator (RSSI) can simultaneously localize itself as well as locate the sensor nodes of WSN. We adopted an algorithm based Rao-Blackwellized Particle Filter (RBPF) to integrate measurements...
In this paper, we proposed a new dynamic topology- adaptive broadcast cluster network topology structure, based on hybrid-like network of wireless sensor networks. This network topology structure can well-suited to mobile nodes in wireless sensor networks system. The Simulation result in this paper shows that the network topology has better viability and dynamic in nature.
An improved particle filter algorithm is proposed for WSN-aided robot localization. This algorithm introduces node reliability and proposes its expression to realize information fusion among nodes. After having computed node reliability, sensor nodes with high localization, and take effect on updating particles according to their reliability. Furthermore, a novel simulation system for WSN-robot based...
We present a solid study on the performance of a homological sensor network in partial sensing coverage, which means the network has at least one sensing coverage hole and we demonstrate that when sacrificing a little coverage the system lifetime can be prolonged significantly. In particular, we showed that when there is one sensing coverage hole (with a coverage rate of 97%) the system lifetime can...
In unattended wireless sensor networks, data are stored locally and retrieved on demand. To efficiently transmit the collectorpsilas retrieval results, data are aggregated along being forwarded. The data confidentiality and integrity should be protected at the intermediate nodes. End-to-end encryption or hop-by-hop encryption based schemes are not efficient. Straightforward homomorphic encryption...
In In-networking storage Wireless Sensor Networks, sensed data are stored locally for a long term and retrieved on-demand instead of real-time. To maximize data survival, the sensed data are normally distributively stored at multiple nearby nodes. It arises a problem that how to check and grantee data integrity of distributed data storage in the context of resource constraints. In this paper, a technique...
In unattended wireless sensor networks (WSNs), data is stored locally or at designated nodes upon sensing, and users can access it on demand. This paradigm can improve energy efficiency by making use of the upcoming cheap and large flash memory, as well as system robustness. Nevertheless, the security and dependability of distributed storage are critical for the applicability of such WSNs. In this...
One fundamental feature of sensor network is unpredictable and this brings us a challenge of how to design an adaptation mechanism to let a sensor network adjust itself based on current "context" and pre-defined network criteria which include coverage density, fault tolerance, system life and so on. The key idea of our work is, based on calculation of nodes coverage, we can let networks...
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