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Sensor-Mission Assignment in Constrained Environments

Matthew P. Johnson, Hosam Rowaihy, Diego Pizzocaro, Amotz Bar-Noy, Stuart Chalmers, Thomas La Porta, Alune Preece
2010 IEEE Transactions on Parallel and Distributed Systems  
In this article, we consider new sensor-assignment problems motivated by frugality, i.e., the conservation of resources, for both static and dynamic settings.  ...  For this setting, we give heuristic algorithms in which available sensors propose to nearby missions as they arrive.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the US Army Research Laboratory  ... 
doi:10.1109/tpds.2010.36 fatcat:hqu3rljcjjarzpdm633lqrmyjq

Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging [article]

Qiuchen Qian and James OKeeffe and Yanran Wang and David Boyle
2022 arXiv   pre-print
local environment to deliver reliable, up-to-date and near-optimal mission planning.  ...  Ensuring efficient and reliable performance of autonomous power delivery vehicles is very challenging in dynamic environments.  ...  These clustering strategies do not, however, account for the recharging capability of the autonomous vehicles, which may result in infeasible missions being assigned to energy-constrained vehicles.  ... 
arXiv:2203.04595v1 fatcat:3rx3fisnuvdmflcwelppicj6hm

Multi-AGV Systems in Shared Industrial Environments: Advanced Sensing and Control Techniques for Enhanced Safety and Improved Efficiency [chapter]

Lorenzo Sabattini, Elena Cardarelli, Valerio Digani, Cristian Secchi, Cesare Fantuzzi
2016 Autonomous Industrial Vehicles: From the Laboratory to the Factory Floor  
environments.  ...  We explicitly consider the situation where the environment is shared among AGVs, manually driven vehicles, and human operators.  ...  In particular, the problem is that of assigning missions to each AGV, and subsequently planning the path to be traveled for mission completion, in an optimized manner.  ... 
doi:10.1520/stp159420150052 fatcat:yducysmplnbprbzdzwnubmpj4u

Assignment Scheduling Capability for Unmanned Aerial Vehicles - A Discrete Event Simulation with Optimization in the Loop Approach to Solving a Scheduling Problem

Darryl Ahner, Arnold Buss, John Ruck
2006 Proceedings of the 2006 Winter Simulation Conference  
Simulation is very effective in modeling and capturing dynamic effects, but is weak in optimizing from alternatives.  ...  Optimization is very effective at identifying the best decision for static problems, but is weaker in identifying the best decision in dynamic systems.  ...  constrained environment.  ... 
doi:10.1109/wsc.2006.323234 dblp:conf/wsc/AhnerBR06 fatcat:tkjmo2dyfnfqhjfvjms4avylx4

Architecture for Efficient Monitoring and Management of Sensor Networks [chapter]

Mohamed Younis, Poonam Munshi, Ehab Al-Shaer
2003 Lecture Notes in Computer Science  
there exist obstacles in their path.  ...  Due to inhospitable conditions, these sensors are not always deployed uniformly in an area of interest and some sensors can be unreachable because they are too distant from the base-station or simply because  ...  Monitoring potentially large number of sensors in such energy-constrained environment is challenging.  ... 
doi:10.1007/978-3-540-39404-4_37 fatcat:dc7bqvug3jeqflqx2olp3bqiu4

Improving AGV systems: Integration of advanced sensing and control technologies

Fabio Oleari, Massimiliano Magnani, Davide Ronzoni, Lorenzo Sabattini, Elena Cardarelli, Valerio Digani, Cristian Secchi, Cesare Fantuzzi
2015 2015 IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)  
In particular, we focus on the key technologies developed within the Plug-and-Navigate Robots (PAN-Robots) project, highlighting how those results contribute to improving the performance of AGV systems  ...  Mainly utilized assignment methods consider the mission assignment problem in a static manner: roughly speaking, each mission is assigned to the closest AGV.  ...  Global navigation is performed once a mission has been assigned to each AGV.  ... 
doi:10.1109/iccp.2015.7312640 dblp:conf/iccp2/OleariMRSCDSF15 fatcat:2tkvw773s5hxhhcodk3espjqrm

Combining System And User Belief On Classification Using The Dsmt Combination Rule

Wilbert Van Norden, Fok Bolderheij, Catholijn Jonker
2015 Zenodo  
Having a correct and timely classification solution for objects has become increasingly important as well as increasingly difficult to obtain in new maritime military missions; a decision support system  ...  In decision support systems a challenge lies in how operator and system belief can be reconciled.  ...  Future Work In [3] command and control concepts and sensor management concepts were tested in a simulation environment.  ... 
doi:10.5281/zenodo.34789 fatcat:jgilj6blofbfng5tz3sya4g5p4

Event Coverage Hole Repair Algorithm Based on Multi-AUVs in Multi-Constrained Three-Dimensional Underwater Wireless Sensor Networks

Yaoming Zhuang, Chengdong Wu, Hao Wu, Zuyuan Zhang, Hongli Xu, Qingyong Jia, Li Li
2020 Symmetry  
It is important for underwater wireless sensor networks (UWSNs) to satisfy the diverse monitoring demands in harsh and perilous three-dimensional underwater environments.  ...  Traditional network repair strategies cannot be applied to the ever-changing underwater monitoring missions and the harsh multi-constrained three-dimensional underwater environments.  ...  In [24] , an inexact Multi-Objective Genetic Algorithm (iMOGA) is proposed to settle Constrained Multi-Objective Solid Travelling Salesman Problems (CMOSTSPs) in fragile, stochastic, and fuzzy scenes.  ... 
doi:10.3390/sym12111884 fatcat:zr4hv4vbzbbrhmh3ccefvkmdva

An Ontology-Centric Approach to Sensor-Mission Assignment [chapter]

Mario Gomez, Alun Preece, Matthew P. Johnson, Geeth de Mel, Wamberto Vasconcelos, Christopher Gibson, Amotz Bar-Noy, Konrad Borowiecki, Thomas La Porta, Diego Pizzocaro, Hosam Rowaihy, Gavin Pearson (+1 others)
2008 Lecture Notes in Computer Science  
Sensor-mission assignment involves the allocation of sensor and other information-providing resources to missions in order to cover the information needs of the individual tasks in each mission.  ...  This paper approaches the sensor-mission assignment problem from a Semantic Web perspective: the core of the approach is a set of ontologies describing mission tasks, sensors, and deployment platforms.  ...  The views and conclusions contained in this document are those of the author(s) and should not be interpreted as representing the official policies, either expressed or implied, of the U.S.  ... 
doi:10.1007/978-3-540-87696-0_30 fatcat:c46yh5pj55dpjnq7grus4rkk5m

Enabling intra-robotic capabilities adaptation using an organization-based multiagent system

E. Matson, S. DeLoach
2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004  
In harsh or dangerous environments, robots can lose function in multiple sensors and effectors over the mission, thus reducing their overall capability.  ...  If the capabilities provided by these sensors/effectors are necessary for mission completion, having an adaptive system that can overcome these losses is critical to mission accomplishment.  ...  Organizational rules are used to constrain the assignment of agents to roles and goals within the organization.  ... 
doi:10.1109/robot.2004.1307378 dblp:conf/icra/MatsonD04 fatcat:odewpw4x4fby5p5vub7br6ay6y

Autonomic Role and Mission Allocation Framework for Wireless Sensor Networks

Themistoklis Bourdenas, Kenji Tei, Shinichi Honiden, Morris Sloman
2011 2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems  
In this paper, we present an autonomic mechanism for initial task assignment in sensor networks, an NP-hard problem.  ...  Consequently, pervasive systems must be capable to autonomically adapt to changing conditions without involving users becoming a transparent asset in the environment.  ...  would like to thank the National Institute of Informatics, Japan for supporting Themistoklis Bourdenas visit to the Institute and acknowledge support from EPSRC for Grant EP/EO251881 AEDUS2: Adaptable Environments  ... 
doi:10.1109/saso.2011.17 dblp:conf/saso/BourdenasTHS11 fatcat:qemgokhiwbbprky2hrm7hnbyyy

Experimental Demonstration of Coordinated Control for Multi-Vehicle Teams

Ellis King, Mehdi Alighanbari, Jonathan How
2004 IFAC Proceedings Volumes  
This paper highlights several algorithmic pieces of the system and typical results are presented for representative experiments in each of the testbeds. Copyright c 2004 IFAC  ...  Numerous trajectory optimization and team coordination algorithms have recently been developed to perform these missions.  ...  and uncertainty in the environment.  ... 
doi:10.1016/s1474-6670(17)32198-5 fatcat:w4b2uwcnnba2bkjkem56t7ahxe

Meeting-Merging-Mission: A Multi-robot Coordinate Framework for Large-Scale Communication-Limited Exploration [article]

Yuman Gao, Yingjian Wang, Xingguang Zhong, Tiankai Yang, Mingyang Wang, Zhixiong Xu, Yongchao Wang, Chao Xu, Fei Gao
2022 arXiv   pre-print
Considering communication is limited in both bandwidth and range in the real world, we propose a lightweight environment presentation method and an efficient cooperative exploration strategy.  ...  To reduce repeated exploration, we develop a mission-based protocol that drives robots to share collected information in stable rendezvous.  ...  However, the connection requirements of these approaches might over-constrain the mission objective, resulting in reducted behaviors.  ... 
arXiv:2109.07764v2 fatcat:v6rrzfm3pzf4jd4jpx5bh65ofq

MASM: a market architecture for sensor management in distributed sensor networks

Avasarala Viswanath, Tracy Mullen, David Hall, Amulya Garga, Belur V. Dasarathy
2005 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2005  
MASM outperformed the information theoretic sensor manager in meeting the mission objectives in the simulation experiments.  ...  A preliminary multi-sensor, multi-target simulation environment has been implemented to test the performance of the proposed system.  ...  Finally, in these systems, humans can take the role of sensors, data collectors, or mission managers dynamically setting the priority of mission goals in the sensor network.  ... 
doi:10.1117/12.604074 fatcat:63f5xxfqozaj5ikyc63lavaic4

A Fast Algorithm for Scheduling Detection-and-Rescue Operations Based on Data from Wireless Sensor Networks

Boris Kriheli, Eugene Levner, Michael Bendersky, Eduard Yakubov
2015 Research in Computing Science  
First, the disaster area is divided into sub-areas and available rescue teams and sensors are assigned.  ...  In order to efficiently detect and perform the needed rescue operations, a network of wireless sensors is used which provide acoustic, seismic, electromagnetic, gravimetric and other information.  ...  MILP models has been successfully used in search planning problems and mission assignment ( [5] ).  ... 
doi:10.13053/rcs-104-1-1 fatcat:ww6y5chzbjgq3nhc2rwd4tdooe
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