COSE: A Query-Centric Framework of Collaborative Heterogeneous Sensor Networks

He, Yuan; Li, Zhenjiang

doi:10.1109/tpds.2012.72

Cited by 6 publications

(4 citation statements)

References 21 publications

(33 reference statements)

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“…The applications of WSNs [11, 24] are deemed as an affordable solution to provide sustainable and efficient sensing services in the real world. When an application of WSNs faces problem condition, for example, poor network performance, administrator and service engineers are required to quickly deploy a diagnosis system for exploring the root cause.…”

Section: Discussionmentioning

confidence: 99%

Near-Optimal Diagnosis System Deployment in Wireless Sensor Networks

Lian

Zhao

2013

International Journal of Distributed Sensor Networks

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Wireless sensor networks (WSNs) have been extensively applied in many important fields with larger scale and more complex structure. The applications of WSNs are regarded as a sustainable solution to provide ongoing and efficient monitoring services in the real world. When such an application of WSNs faces poor performance or unexpected condition, the administrator needs to deploy a diagnosis system to diagnose the task. One possible way is to transform some original motes as diagnosis motes by using reprogramming technique. However, the challenge is how to achieve best efficiency in the diagnosis nodes selection processing. Moreover, the required network evidence is always distributed in multidimensional data spaces. The existing approaches fail to consider this multidimensional feature of evidence in diagnosis nodes selection problem. To address the above issues, we propose a solution for the multidimensional diagnosis nodes selection problem and give the corresponding upper bound. Lastly our experimental results demonstrated that our approach is scalable and applicable for real WSNs.

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Section: Discussionmentioning

confidence: 99%

Near-Optimal Diagnosis System Deployment in Wireless Sensor Networks

Lian

Zhao

2013

International Journal of Distributed Sensor Networks

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“…Moreover, they are not suitable for data outsourcing and data query. He and Li schedule the sequence of query processing to achieve the optimized overall energy efficiency by fully utilizing the implications among sensor networks [14]. It also cannot be applied to query over encrypted data.…”

Section: Related Workmentioning

confidence: 99%

SSE: A Secure Searchable Encryption Scheme for Urban Sensing and Querying

Wen

Lei

Zeng

2013

International Journal of Distributed Sensor Networks

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With the distributed sensors that are deployed to monitor the urban environment in smart cities, the sensed data are overwhelming and beyond the scope of the wireless sensor networks (WSNs) capability. Due to the communication range limits of the sensors, most of these data will be outsourced and stored on some untrusted servers. Thus, how to maintain the data confidentiality and integrity, as well as source authentication and data query privacy of the outsourced data, is a challenging problem. In this paper, we propose a secure searchable encryption scheme, named SSE, for urban sensing and querying to address the problem. Specifically, our SSE constructs a secure hidden vector encryption-(HVE-) based rang query predicate. The sensed data can be stored on an untrusted server in encrypted form. A requester can obtain the correct ciphertexts when his authorized range query matches the HVE-based encryption predicate. With the help of the base station, the ciphertexts can be decrypted and data integrity can be verified; then, the requester can obtain the correct original data. Security analysis demonstrates that; in the SSE, only the authorized requesters can obtain the query results, while the data confidentiality and integrity and source authentication are also preserved.

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“…Section 2 presents previous approaches related to the work done in this research. Section 3 presents our proposed approach (TIS) based on previously proposed QCPS [8] that provides various services (defined above) according to user's centric query. Section 4 describes the performance evaluation and results of proposed system by implementing a testbed of 16 sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

“…QCPS model based on cyber physical system which enables the fast execution of centric query (i.e. a single query which incorporates the multiple heterogeneous sensor nodes) with less computation and communication cost and supports low energy consumption [7][8]. QCPS architecture (Fig.…”

Section: Introductionmentioning

confidence: 99%

Transport Information System using Query Centric Cyber Physical Systems (QCPS)

Mundra¹,

Rathee²,

Chawla³

et al. 2014

IJCA

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To incorporate the computation and communication with the physical world, next generation architecture i.e. CPS is viewed as a new technology. To improve the better interaction with the physical world or to perk up the electricity delivery usage, various CPS based approaches have been introduced. Recently several GPS equipped smart phones and sensor based frameworks have been proposed which provide various services i.e. environment estimation, road safety improvement but encounter certain limitations like elevated energy consumption and high computation cost. To meet the high reliability and safety requirements, this paper introduces a novel approach based on QCPS model which provides several users services (discussed in this paper). Further, this paper proposed a Transport Information System (TIS), which provide the communication with lower cost overhead by arranging the similar sensors in the form of grids. Each grid has a coordinator which interacts with cloud to process the user query. In order to evaluate the performance of proposed approach we have implemented a test bed of 16 wireless sensor nodes and have shown the performance in terms of computation and communication cost.

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COSE: A Query-Centric Framework of Collaborative Heterogeneous Sensor Networks

Cited by 6 publications

References 21 publications

Near-Optimal Diagnosis System Deployment in Wireless Sensor Networks

Near-Optimal Diagnosis System Deployment in Wireless Sensor Networks

SSE: A Secure Searchable Encryption Scheme for Urban Sensing and Querying

Transport Information System using Query Centric Cyber Physical Systems (QCPS)

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