Battery-powered mobile robots that rely on an edge server for perception spend energy in three places at once: the on-board processor, the radio front end and the drivetrain. These budgets are normally optimised separately, which is a mistake, as lowering the processor clock pushes work onto the wireless link, transmit...
Amir Ijaz, Hashem Haghbayan, E. Nigussie et al.· Electronics· 0 citations
This paper presents, to our knowledge, the first framework that jointly and provably optimizes communication and computation energy across an entire fleet of wirelessly connected mobile robots, rather than for a single device or under a fixed offloading policy as in prior work. Battery capacity limits the endurance of...
Amir Ijaz, Hashem Haghbayan, E. Nigussie et al.· Electronics· 0 citations
The execution-placement decision is folded into the edge-relaxation step of an A* path search, using a composite cost whose communication term is derived from the instantaneous neighborhood of each node; routing and compute placement are co-optimized within a single search rather than in decoupled stages.
Amir Ijaz, Hashem Haghbayan, E. Nigussie et al.· Italian National Conference...· 0 citations
A joint communication–computation optimization (JCCO) framework for energy-efficient resource allocation in edge-assisted swarm robotics that achieves improved fairness, lower communication overhead, and efficient embedded deployment suitability for TinyML-enabled robotic platforms.
Amir Ijaz, Hashem Haghbayan, E. Nigussie et al.· Journal of Sensor and Actuat...· 0 citations
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