Prototyping Service Discovery and Usage in Wireless Sensor Networks

2007 ◽  
Author(s):  
Raluca Marin-Perianu ◽  
Hans Scholten ◽  
Paul Havinga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Service Discovery ◽  
Wireless Sensor

Optimization of Service Discovery in Wireless Sensor Networks

2010 ◽  
pp. 351-362 ◽  
Author(s):  
Ayon Chakraborty ◽  
Kaushik Lahiri ◽  
Subhajit Mandal ◽  
Deepankar Patra ◽  
Mrinal K. Naskar ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Service Discovery ◽  
Wireless Sensor

On the design of UPnP gateways for service discovery in wireless sensor networks

2011 ◽  
Author(s):  
Bruno da Silva Campos ◽  
Eduardo Freire Nakamura ◽  
Carlos Mauricio S. Figueiredo ◽  
Joel J. P. C. Rodrigues
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Service Discovery ◽  
Wireless Sensor

scholarly journals Hybrid recommendation–based quality of service prediction for sensor services

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877401 ◽  
Author(s):  
Meiyu Wang ◽  
Leilei Shi ◽  
Lu Liu ◽  
Mariwan Ahmed ◽  
John Panneerselvan
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Service Discovery ◽  
Latent Dirichlet Allocation ◽  
Wireless Sensor ◽  
Service Recommendation ◽  
Allocation Model ◽  
Hybrid Recommendation

Wireless sensor networks are being the focus of several research application domains, and the concept of sensing-as-a-service is on the rise in wireless sensor networks. Large service repositories comprising more services and functionalities usually impose new challenges to users while identifying their preferred services and may incur higher costs. Thereby, service recommendation systems have become important and integral tools of service models to provide personalized products for consumers. However, many existing methods of sensor service recommendation focus only on service discovery. To this end, this article proposes a novel hybrid recommendation method, named new hybrid recommendation method. First, latent Dirichlet allocation model is used to compute the similarity of the latent topics of the services, and the user’s latent semantic themes are used to extract the potential interest services. Moreover, the relevance of neighbourhood services is considered, which can improve the accuracy of quality of service prediction. Experiments conducted on real datasets demonstrate that the proposed method is more accurate than the existing methods of service recommendation.

scholarly journals An Evaluation of Topology Effect on Tiny Service Discovery Protocol for Wireless Sensor Networks

2016 ◽  
Vol 15 (3) ◽  
pp. 6632-6642
Author(s):  
Khalid Kahloot ◽  
Akram A. ElKhatib
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Waiting Time ◽  
Service Discovery ◽  
Throughput Capacity ◽  
Wireless Sensor ◽  
Average Waiting Time ◽  
Sensor Applications ◽  
Success Ratio ◽  
Service Discovery Protocol

In the literature of wireless sensor networks (WSNs), a well studied problem is that of achieving full sevice discovery within a region according to the topology model of coverage. A large waiting time of wireless sensor applications spent in node discovery, as nodes need to periodically advertise their presence and be awake to discover other nodes for services. Uniformly random distributions are widely accepted models for the location of the nodes in WSNs. Depending on the application, it may also be possible to place sensors in a four models of topologies; random, square, tringle and hexagon. There is a rich literature on throughput capacity for WSNs topologies in general, but we want to specifically study Service Discovery Protocol and how proper node deployment scheme can reduce the complexity of problems. In this paper, the effect of node topology on the performance of Tiny Service Discovery Protocol (TinySDP) in WSNs has been analyzed. In order to measure and evaluate the performance of TinySDP within variant shapes of topologies, We compared in terms of success ratio, number of transmitted messages and average waiting time. Simulation results showed that hexagon topology has a high data success ratio and a very low average waiting time, which are major requirements for disaster management scenarios.  

Efficient service discovery mechanism for wireless sensor networks

2008 ◽  
Vol 31 (14) ◽  
pp. 3292-3298 ◽  
Author(s):  
Jaehoon Jung ◽  
Seunghak Lee ◽  
Namgi Kim ◽  
Hyunsoo Yoon
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Service Discovery ◽  
Wireless Sensor
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