Network Planning for Heterogeneous Wireless Sensor Networks in Environmental Survivability

Machado, Renita; Zhang, Wensheng; Wang, Guiling

doi:10.1109/ictai.2009.115

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…HSNs can support applications that may require diverse resources. Especially, HSNs with multiple sensing modalities are gaining popularity in diverse fields since they can provide flexibility and robustness [61,72,138,120]. In [61], an approach for target tracking in urban environments utilizing a HSN of mote class devices equipped with acoustic sensor boards and embedded PCs equipped with web cameras is proposed.…”

Section: Sensor Placement In a Heterogeneous Networkmentioning

confidence: 99%

Distributed source localization in wireless sensor networks

Meng¹

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First and foremost, I owe my deepest gratitude to my supervisor, Professor Xie Lihua, whose encouragement, professional guidance and support from the initial to the final level enabled me to develop an understanding of the subject. His patient and insightful discussions are greatly appreciated. Without his great enthusiastic help, I would not be able to complete this thesis. It is his rigorous scholarship and generous humanity that teaches me how to become a well qualified researcher. I am also thankful to my co-supervisor, Dr Xiao Wendong, for his valuable guidance and kindly help in my PhD study. He also supervised my master study when I was in China. What I appreciated most were the many opportunities and the freedom he has offered that allowed me to find the research topics I am most interested in. His expertized suggestions have been great motivations for my academic work. I would like to show my gratitude to the fellow students and friends of Sensor Network Lab who helped and supported me in these years. In particular, I valued the close discussions with Liu Shuai, Xiao Nan, You Keyou, Hu Jinwen, Yang Zai and Yu Chengpu who helped me to understand quite a lot of critical problems. I must also acknowledge the research scholarship I received from the Nanyang Technological University when the research work was carried out in the School of Electrical and Electronic Engineering. In the end, I owe a lot of thanks to my parents and my sisters for their continuous presence, support and encouragement, and my wife, Wu Xinghua, for her love and taking care of me every step of the way.

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Section: Sensor Placement In a Heterogeneous Networkmentioning

confidence: 99%

Distributed source localization in wireless sensor networks

Meng¹

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“…On the other hand, the probability of node false negative (P nf n ) is modeled as Eq. (2). When an event is present, the signal strength received by the sensor nodes is modeled as a Gaussian distribution with non-zero mean.…”

Section: A Node Fault Modelmentioning

confidence: 99%

“…For user requirements and realistic concerns, the deployed sensors having different capacities, called heterogeneous WSNs (HWSNs), are attracted much attention. In addition to hardware heterogeneities on computation and communication [1], some sensors with different characteristics are used for special purposes [2], [3]. For example, waterproof sensors can be used to monitor targets in rainy seasons.…”

Section: Introductionmentioning

confidence: 99%

Quality of Surveillance Measures in K-Covered Heterogeneous Wireless Sensor Networks

Wueng

Hwang

2010

2010 39th International Conference on Parallel Processing Workshops

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Heterogeneous Wireless Sensor Networks, in which the deployed sensors have different capacities, are gradually used to perform critical surveillance in real world. For conserving energy, powerful sensors are usually activated only when an event is detected, while low-cost and errorprone sensors dominate the quality of surveillance (QoSu) when an interesting event just appears. To guarantee a desired QoSu, deploying the K-coverage configuration in HWSNs has attracted much attention. However, little work addresses a significant issue of measuring the fault tolerance level on a K-coverage configuration in HWSNs. In this paper, we first propose an energy-efficient eligibility approach to perform the K-covered HWSNs with very low cost. The QoSu is further formalized in terms of explicit metrics, such as probabilities of system false positives and system false negatives. An appropriate deployment of the K-coverage configuration can thus be determined according to a desired QoSu while prolonging the system lifetime.

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The Topology Construction Power Control Algorithm Based on Birthday Paradox

Zhang¹,

Han²

2013

2013 International Conference on Computer Sciences and Applications

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Network Planning for Heterogeneous Wireless Sensor Networks in Environmental Survivability

Cited by 7 publications

References 17 publications

Distributed source localization in wireless sensor networks

Distributed source localization in wireless sensor networks

Quality of Surveillance Measures in K-Covered Heterogeneous Wireless Sensor Networks

The Topology Construction Power Control Algorithm Based on Birthday Paradox

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