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Distributed Sensor Networks

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Journal Scope
Inventi Rapid/Impact: Distributed Sensor Networks is the peer reviewed journal of Engineering & Technology. This journal contains the paper related to the sensor network interfacing with large number of devices and are densely deployed. The distributed sensor network applications are environment/ health monitoring, commercial, control and interactive.



TRAFFIC-AWARE DATA DELIVERY SCHEME FOR URBAN VEHICULAR SENSOR NETWORKS
Chunmei Ma, Nianbo Liu

Vehicular sensor network (VSN) is a promising technology which could be widely applied to monitor the physical world in urban areas. In such a scenario, the efficient data delivery plays a central role. Existing schemes, however, cannot choose an optimal route, since they either ignore the impact of vehicular distribution on connectivity, or make some unreasonable assumptions on vehicular distribution. In this paper, we propose a traffic-aware data delivery scheme (TADS). ?e basic idea of TADS is to choose intersections to forward packets dynamically as the route from a source to destination based on link quality and remaining Euclidean distance to destination. Speci??cally, we ??rst present an optimal utility function as the criteria of intersection selection. Besides the packet forwarding through intersections, we also propose an improved geographically greedy routing algorithm for packet forwarding in straightway mode. Moreover, in order to decrease the routing overhead brought by the traffic information gathering, we build a traffic condition prediction model to estimate the link quality. ?e simulation results show that our TADS outperforms existing works on packet delivery ratio, end-to-end delay, and routing overhead....
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MULTIAGENT-BASED DATA FUSION IN ENVIRONMENTAL MONITORING NETWORKS
Samuel Dauwe, Timothy Van Renterghem, Dick Botteldooren, Bart Dhoedt

Advances in embedded systems and mobile communication have led to the emergence of smaller, cheaper, and more intelligent sensing units. As of today, these devices have been used in many sensor network applications focused at monitoring environmental parameters in areas with relative large geographical extent. However, in many of these applications, management is often centralized and hierarchical. This approach imposes some major challenges in the context of large-scale and highly distributed sensor networks. In this paper, we present a multilayered, middleware platform for sensor networks offering transparent data aggregation, control, and management mechanisms to the application developer. Furthermore, we propose the use of multiagent systems (MASs) to create a computing environment capable of managing and optimizing tasks autonomously. In order to ensure the scalability of the distributed data fusion, we propose a three-step procedure to balance the workload among machines using mobile agent technology...
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SP2DAS: SELF-CERTIFIED PKC-BASED PRIVACY- PRESERVING DATA AGGREGATION SCHEME IN SMART GRID
Jianhong Zhang, Liying Liu, Yuanbo Cui,Zhipeng Chen,

Smart grid is a network of computers and power infrastructures that monitor and control energy usage by collecting data from the power grid. It can gather and distribute information about the behavior of all consumers in order to improve the efficiency, reliability, economics, safety, and sustainability of electricity services. In this paper, we propose a self-certi??ed P??C-based privacypreserving data aggregation scheme in smart grid to increase computation efficiency and achieve privacy protection of end users. To realize the anonymous aggregation of multidimensional data, we adopt the Chinese Remainder ?eorem and homomorphic property of Paillier cryptosystem to achieve it. Comparing our scheme with Lu et al.’s scheme, the result shows that our scheme has more advantages over Lu et al.’s scheme in terms of computational costs of the user, GW, and OA. A??er adopting batch veri??cation technique, the computational cost of GW is constant in our scheme, however, that of GW is linear with the number of the users in Lu et al.’s scheme. Furthermore, our scheme also supports the anonymity of the user’s identity. It indicates that the local gateway GW does not know the real identity of the resident user such that the privacy of the user is better protected....
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E- ISSN: 2277-2286
P- ISSN: Awaited


Inventi Impact
Distributed Sensor Networks



Frequency: Quarterly
E- ISSN: 2277-2286
P- ISSN: Awaited


Abstracted/ Indexed in: Ulrich’s International Periodical Directory & Google Scholar, SCIRUS, getCITED