Minimum energy paths for reliable communication in multi-hop wireless networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Proceedings of the 9th annual international conference on Mobile computing and networking
Opportunistic routing in multi-hop wireless networks
ACM SIGCOMM Computer Communication Review
Comparison of routing metrics for static multi-hop wireless networks
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
MASON: A Multiagent Simulation Environment
Simulation
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Emergent Behaviors of Protector, Refugee, and Aggressor Swarms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Agent-based simulation for UAV swarm mission planning and execution
Proceedings of the Agent-Directed Simulation Symposium
Design and evaluation of UAV swarm command and control strategies
Proceedings of the Agent-Directed Simulation Symposium
Agent-based simulation of cooperative hunting with UAVs
Proceedings of the Agent-Directed Simulation Symposium
Agent-based simulation for UAV swarm mission planning and execution
Proceedings of the Agent-Directed Simulation Symposium
Design and evaluation of UAV swarm command and control strategies
Proceedings of the Agent-Directed Simulation Symposium
International Journal of Agent Technologies and Systems
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Unmanned Aerial Vehicles (UAVs) are of increasing interest to researchers because of their diverse applications, such as military operations and search and rescue. The problem we have chosen to focus on is using a swarm of small, inexpensive UAVs to discover static targets in a search space. Though many different swarm models have been used for similar problems, our proposed model, the Icosystem Swarm Game, to our knowledge has not been evaluated for this particular problem of target search. Further, we propose to simulate the performance of this model in a semi-realistic communications environment. The challenge here is to find the optimal multi-hop configuration for the UAVs, so that they can find the most targets, avoid collision with each other as much as possible, and still communicate efficiently. We implement this through a weighted shortest-path problem using Dijkstra's algorithm, with the weights being the transmission cost over distance. Testing has shown that our multi-hop communications perform, in terms of target-finding and collision avoidance with other UAVs, as well as an idealized communications environment.