Energy Consumption Framework for Mobile Data Gathering in Wireless Sensor Networks

Wireless sensor networks (WSNs) play an increasingly important role in a wide range of applications, e.g. wildlife tracking, habitat monitoring. The Data uploading time constitutes a large portion of mobile data gathering time in wireless sensor networks. By equipping the two way ground antenna on the mobile collector (senbee), data uploading time can be greatly reduced. The previous work only treated with wireless link capacity as a constant not movable and ignored power control on sensors, which is significantly deviate from the real wireless environments. This system takes the high energy consumption, delay and high traffic load sensitivity. To overcome this problem, proposed a mobile data collecting strategy saves the energy consumption and delay-sensitive applications to alleviate high traffic load and bottleneck in a sink's vicinity. Proposed a distributed algorithm to maximize network lifetime simultaneously, it would significantly speed up the data. The subgradient iteration algorithm to solve the minimization problem. The Lagrangian dualization, simplified the original problem into several sub problems and the distributed algorithms used to calculate data rate, link flow and routing, power control, and transmission compatibility. This proposed method not only reduces routing costs on sensor nodes but also serves as a remote sensing areas to gather data from even disconnected regions to facilitate network coverage and connectivity.