Optimal cooperative spectrum sensing in cognitive sensor networks

Pham, Hai Ngoc; Zhang, Yan; Engelstad, Paal E.; Skeie, Tor; Eliassen, Frank

doi:10.1145/1582379.1582615

Cited by 26 publications

(27 citation statements)

References 8 publications

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“…The biclique graph Fig.3 The algorithms for obtaining the biclique graphs from its bipartite graph will be given later. [36] In order to provide sufficient protection to the PUs, it is required to keep the detection probability above a given threshold Q th , that is Q d,j ≥ Q th . Hence we have…”

Section: B Mapping To Biclique Graphmentioning

confidence: 99%

Cluster-Based Cooperative Spectrum Sensing Assignment Strategy for Heterogeneous Cognitive Radio Network

Zhang

Yang

Yeo

2015

IEEE Trans. Veh. Technol.

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Cognitive radio is proposed as an efficient way to address the issue of spectrum shortage and under-utilization, in which cooperative spectrum sensing (CSS) is used to enhance the sensing performance. One of the most fundamental problems of CSS is: how to appropriately assign the secondary users (SUs) to sense the primary user (PU) channels? In this paper, we study the CSS problem under a more practical scenario where we take the heterogeneous characteristics of both SUs and PU channels into consideration. With the objective to maximize the achievable throughput for SUs, we propose a cluster-based CSS to obtain a proper assignment policy, in which all the SUs in the same cluster cooperate in sensing the same set of PU channels. Moreover, the cluster-based CSS problem is formulated as a Maximum Weight one-sided Biclique (MWB) problem. We prove that the MWB problem is NP-complete, and a greedy heuristic algorithm with polynomial computational complexity is developed to find the suboptimal assignment policy. Evaluation results show that our proposed greedy algorithm can achieve a close-to-optimal solution with far less complexity.

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Section: B Mapping To Biclique Graphmentioning

confidence: 99%

Cluster-Based Cooperative Spectrum Sensing Assignment Strategy for Heterogeneous Cognitive Radio Network

Zhang

Yang

Yeo

2015

IEEE Trans. Veh. Technol.

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“…To such aim the following quantity has been estimated [10]: Comparing quantity (2) with suitable thresholds experimentally fixed allows for the detection of stair climbing activity. The observed a y is also permanently compared to absolute values recorded in case of stair climbing activity to filter out false positives provided by (2).…”

Section: B the User Inertial Toolmentioning

confidence: 99%

“…Quantities (1) and (2) has been estimated by the user inertial tool of the MT running on a PC station.…”

Section: B the User Inertial Toolmentioning

confidence: 99%

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A smart wireless sensor network for AAL

Andò

Baglio

Malfa

et al. 2011

2011 IEEE International Workshop on Measurements and Networking Proceedings (M&N)

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This paper deals with a novel system to assist weak people in exploring indoor environment. The system is based on a WSN and smart paradigms which extract a suitable information from data collected through the multi-sensor architecture. Such information is then provided to the user for a safe and efficient exploitation of the environment and to the supervisor for a suitable assessment and management of hazard situations.

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“…Hugo Marques proposed a security framework that leverage the security in cognitive radio cooperation protocols [1] . Hai Ngoc Pham proposed optimal cooperative spectrum sensing scheme, mainly to solve the problem to minimize energy consumption [2] . Besides sensing efficiency, the security of CR is another important factor to consider.…”

Section: Related Workmentioning

confidence: 99%

A Sub-spectrum Sensing Scheme Based on Reputation in Cognitive Radio Networks

Pei

Jiang

et al. 2010

2010 International Conference on Computational Intelligence and Security

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With the existing Cognitive Radio Networks development, we present a sub-spectrum sensing scheme based on reputation which takes advantage in energy consumption, security and fairness from spectrum sensing, data fusion and spectrum allocation by classifying users and spectrum bands reasonably. The analysis shows that the sub-spectrum sensing scheme can save energy and defense SSDF attacks effectively.

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Optimal cooperative spectrum sensing in cognitive sensor networks

Cited by 26 publications

References 8 publications

Cluster-Based Cooperative Spectrum Sensing Assignment Strategy for Heterogeneous Cognitive Radio Network

Cluster-Based Cooperative Spectrum Sensing Assignment Strategy for Heterogeneous Cognitive Radio Network

A smart wireless sensor network for AAL

A Sub-spectrum Sensing Scheme Based on Reputation in Cognitive Radio Networks

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