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This article describes the energy-saving method, which can be implemented in various wireless cargo or other asset tracking devices that operate using battery power. The idea came from situations where multiple cargo items with attached trackers are transported in the same truck, ship, plane, etc. Instead of sending their locations to the central server individually and constantly draining their batteries, trackers cooperate and periodically select one of the healthiest nearby tracking devices to report their positions to the central server. This can significantly improve the lifetime of such trackers, since communication with the central server requires much more energy than local data processing and local communication between nearby trackers. This method can be applied by various companies that produce GPS (Global Positioning System) tracking devices, used by logistics companies around the world.
Abstract
The tracking of assets or cargo is one of the main objectives of global logistics and transportation systems, ensuring operational efficiency, security, and timeliness. Currently, battery-operated GPS (Global Positioning System)-based tracking devices are used for this purpose. The main shortcoming of these devices is the lifetime of the batteries because they cannot be replaced or recharged, or because this is simply not economically feasible. Therefore, efficient methods are needed to prolong battery life as much as possible. Various existing energy-saving techniques can be applied to solve this problem. However, none of these consider situations in which multiple tracking devices are transported together and can cooperate to further increase their energy efficiency. In this study, we propose and evaluate the novel lightweight peer-to-peer energy-saving method for nearby wireless battery-powered trackers based on their cooperation. The proposed method is based on the short-range BLE (Bluetooth Low Energy) device discovery mechanism and the dynamic election of the leader tracker (with the highest battery capacity) to report the location of its own and other neighboring trackers to the central server. The experimental evaluation of the proposed method shows that, compared to the traditional approach, where each tracker sends its location individually, the proposed method allows a reduction in the average battery charge required for one position report from 19% to 240% per each cooperating tracker. The average energy consumption for one location report per node decreased from 4.68 mWh using the traditional approach to 3.93 mWh for 2 cooperating devices and 1.92 mWh for 15 cooperating devices.
Keywords:
tracking; cooperation; wireless; energy efficiency; positioning; GPS; Bluetooth; battery-powered