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Jacob Palmer

dblp:164/8370 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 64% Physical-layer communications · 28% Vehicular, aerial and satellite networks · 8%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › optical wireless communication
air-water communication
0.212015
On air-to-water radio communication between UAVs and water sensor networks · ICRA 2015
Internet of things and sensor networks › wireless sensor network
sensor deployment
0.212015
On air-to-water radio communication between UAVs and water sensor networks · ICRA 2015
Internet of things and sensor networks
underwater sensor networks
0.212015
On air-to-water radio communication between UAVs and water sensor networks · ICRA 2015
Internet of things and sensor networks › delay tolerant networks
data muling
0.112015
On air-to-water radio communication between UAVs and water sensor networks · ICRA 2015
Vehicular, aerial and satellite networks
UAV communication
0.112015
On air-to-water radio communication between UAVs and water sensor networks · ICRA 2015

Methods — techniques the papers use, named apart from their topics

field experiments · 0.2energy analysis · 0.2
YearPublicationVenuePosition
2015 On air-to-water radio communication between UAVs and water sensor networks
abstract
Ocean monitoring using underwater sensor networks faces communication challenges in retrieving data, communicating large amounts of data between nodes, and covering increasing spatial regions while remaining connected. With underwater sensor networks that are capable of surfacing, unmanned aerial vehicles (UAVs) provide a solution to this by providing radio-based data muling services, but, as this area is still unexplored, the utility of this solution is unclear. In this paper, we examine the theoretical expectations, perform several field experiments, and analyze the communication success rates of 802.15.4 radios near the water surface both communicating between surface nodes as well as between a node and the UAV. These indicate that on the water surface internode radio communication is poor, but node to UAV communication can provide both reasonable ranges and success rates. We additionally measure and analyze the energy aspects of the systems, determining the impacts of parameters such as network size and distance between nodes on the UAV energy. Finally, we consolidate the information into an algorithm outlining how to configure and design hybrid UAV and underwater sensor network systems.
Jacob Palmer, Nicholas Yuen, John-Paul Ore, Carrick Detweiler, Elizabeth Basha
ICRA1