An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Mobility increases the capacity of ad hoc wireless networks
IEEE/ACM Transactions on Networking (TON)
On the behavior of communication links of a node in a multi-hop mobile environment
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Mobility improves coverage of sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Performance of power detector sensors of DTV signals in IEEE 802.22 WRANs
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
An optimal sensing framework based on spatial RSS-profile in cognitive radio networks
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
Spatio-temporal fusion for small-scale primary detection in cognitive radio networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Joint integrated spectrum handoff management and routing in CR-MANETs: an analytical modeling
WiFlex'13 Proceedings of the First international conference on Wireless Access Flexibility
On Detecting Spectrum Opportunities for Cognitive Vehicular Networks in the TV White Space
Journal of Signal Processing Systems
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In cognitive radio networks (CRNs), spectrum sensing is key to opportunistic spectrum access while preventing any unacceptable interference to primary users' communications. Although cognitive radios function as spectrum sensors and move around, most, if not all, of existing approaches assume stationary spectrum sensors, thus providing inaccurate sensing results. As part of our effort to solve/alleviate this problem, we consider the impact of sensor mobility on spectrum sensing performance in a joint optimization framework for sensor cooperation and sensing scheduling. We show that sensor mobility increases spatio-temporal diversity in received primary signal strengths, and thus, improves the sensing performance. This is intuitively plausible, but have not been tested previously. Based on this observation, we propose a sensing strategy that minimizes the sensing overhead by finding an optimal combination of the number of sensors to cooperate and the number of times spectrum sensing must be scheduled. This result provides a useful insight to understand the spectrum sensing and its coupling with sensor mobility.