DaGCM : A Current Data Uploading Framework for Mobile Data Gathering Wireless Sensor Networks
DaGCM A Current Data Uploading framework Wireless sensor networks (WSNs) are playing an increasingly important role in a wide range of applications, including wildlife tracking, habitat monitoring, and intelligence on battlefields.projects on Current Data Uploading framework These applications typically involve hundreds or even thousands of sensor nodes powered by batteries with limited energy over a large field.
During the operation, sensors organize themselves into a network and periodically report sensing data to the sink(s). How to aggregate sensor data largely determines the network’s energy consumption.
We have designed a cross-layer optimization framework for mobile data collection in WSNs, taking into account elastic connection capacity and sensor power control.projects on Current Data Uploading framework By enabling simultaneous data uploading,we first formulate the problem of minimizing total data collection costs under the constraints of flow conservation,energy budget (power control), elastic connection capacity, and sensor compatibility.
Projects on Current Data Uploading framework by introducing auxiliary variables, we transform the non-convex problem into a convex one and further decompose it into several subproblems of data control and data splitting on the transport layer, network routing and power control and compatibility decisions on the physical layer.
DaGCM A Current Data Uploading framework In order to solve the problem, we use subgradient iterative approach and present several distributed subalgorithms with explicit message transmission. projects on Current Data Uploading framework Extensive numerical results demonstrate convergence within 50 iterations of the proposed algorithm.