Power budgeting and cost estimation for the investment decisions in wireless sensor network using the energy management framework aatral with the case study of smart city planning

Abstract

Energy engineering study in the field of Wireless Sensor Network (WSN) attracted many researchers in the last decade. The growing interest of researchers has contributed a variety of energy optimization solutions in the field for WSN. There is a need for consolidating all these energy efficiency initiatives at hardware, software, protocol level and algorithmic and architectural corrections and publish them as services for the energy management. The challenge is how this independent energy management framework helps in monitoring, optimizing and coordinating with the energy harvesting units of a typical WSN application bed set up and facilitate the entire energy management. One step further, can the energy management framework, keep track of benchmarks of energy usage for a typical WSN profile and help in recording the operating cost of the WSN application bed in terms of energy is the quest behind this framework Aatral. The independent energy framework Aatral helps not only managing the energy auditing, optimization, harvesting associated with the Wireless Sensor Network but also keeps track of the operating cost, cost estimations and helps in deciding the investments by its special module called Energy Economics Calculator. This paper explains the architecture and design principles of the energy management framework and its functionality of power budgeting, cost estimation, investment decision with a use case of smart city planning with building depreciation sensors, traffic sensors, temperature sensors, intruder detection sensors, monitoring sensors, current leakage sensors.