Monthly Archives: January 2014

Paper accepted in IEEE VTC Spring 2014

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Our paper “Neighbor Cardinality Estimation with Low-Power Transceivers: Implementation and Experimental Results,” is accepted in IEEE Vehicular Technology Conference- Spring 2014.

The paper provides a proof-of-concept and performance test of neighbor estimation algorithms with an implementation on low-power wireless sensor devices. We illustrate the challenges of implementing the recently proposed multi-feedback estimator (MFE)  on Z1 sensor devices. We compare the performance of MFE to that of simple neighbor counting.

Paper accepted in IEEE ICRA 2014

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Our paper “Information Merging in Multi-UAV Cooperative Search,” is accepted in IEEE International Conference on Robotics and Automation 2014.

The paper investigates probabilistic information merging strategies for cooperative search using multiple UAVs. The objective is to determine the impact of cooperation and type/amount of information exchange on search time and detection errors. Local occupancy grids are used to represent target existence, to update its belief with local observations and to merge information from other UAVs. Our merging strategies perform Bayes updates of the occupancy probabilities while considering realistic limitations in
sensing, communication and UAV movement—all of which are important for small-scale UAVs.

Paper accepted in IEEE WCNC 2014

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Our paper, “Experimental Performance Analysis of Two-Hop Aerial 802.11 Networks” is accepted in IEEE Wireless Communication and Networking Conference 2014.

The paper focuses on deployment of standard WLAN technology for different network setups over an aerial network. It is experienced that certain setups not only offer network range extension, but also much lower variance in throughput. It is also seen that the standard routing protocol for 802.11s mesh lacks vastly in its implementation when applied to multihop aerial networks. Thus, there is a need to evaluate alternative mesh routing protocols that cater for aerial communication network demands.