Energy Harvesting Backpacks for Human Load Carriage: Modelling and Performance Evaluation

Energy expenditure in manual load carriage.

From observations on load carriage on subjects engaged solely for the manual carriage of compact loads of a given range of weights, over a range of self selected speeds, Gross Load (Body weight plus weight of external load) and the speed of carriage were found to be the principal influences in determining the energy expenditures of the tasks and the cardiorespiratory changes during their perfor...

Online Geographical Load Balancing for Energy-Harvesting Mobile Edge Computing

Mobile Edge Computing (MEC) (a.k.a. fog computing) has recently emerged to enable low-latency and location-aware data processing at the edge of mobile networks. Since providing grid power supply in support of MEC can be costly and even infeasible in some scenarios, on-site renewable energy is mandated as a major or even sole power supply. Nonetheless, the high intermittency and unpredictability...

Soldier Mobility: Innovations in Load Carriage System Design and Evaluation

A Modelling Framework for Energy Harvesting Aware Wireless Sensor Networks

State = R≥0 ×R≥0 For an abstract state (d, a), we call dist(d, a) = d+ a the energy-adjusted distance. The computational state comprises: • A simple distance d ∈ R≥0 to the base station, like the simple distance of an abstract state. • An energy level e ∈ Energy. • An energy-faithful adjustment f ∈ R≥0 capturing energy deficiencies along the route to the base station. • A table nt containing en...

Mechanics and energetics of load carriage during human walking.

Although humans clearly expend more energy to walk with an extra load, it is unclear what biomechanical mechanisms contribute to that increase. One possible contribution is the mechanical work performed on the body center of mass (COM), which simple models predict should increase linearly with added mass. The work should be performed primarily by the lower extremity joints, although in unknown ...