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In this work, we investigate the capacity allocation problem in the energyharvesting wireless sensor networks (WSNs) with interference channel. For thefixed topologies of data and energy, we formulate the optimization problem whenthe data flow remains constant on all data links and each sensor node harvestsenergy only once in a time slot. We focus on the optimal data rates, powerallocations and energy transfers between sensor nodes in a time slot. Our goalis to minimize the total delay in the network under two scenarios, i.e., noenergy transfer and energy transfer. Furthermore, since the optimizationproblem is non-convex and difficult to solve directly. By considering thenetwork with relatively high Signal-to-Interference-plus-Noise Ratio (SINR),the non-convex optimization problem can be transformed into a convexoptimization problem by convex approximation. We attain the properties ofoptimal solution by Lagrange duality and solve the convex optimization problemby CVX solver. The experimental results demonstrate that the total delay of theenergy harvesting WSNs with interference channel is more than that in theorthogonal channel; and the energy transfer can help to decrease the totaldelay. Moreover, we also discuss the extension of our work.

Optimal Energy-Delay in Energy Harvesting Wireless Sensor Networks with Interference Channel