The Research Of TDMA Sleep Scheduling In Wireless Sensor Networks

Wireless sensor networks(WSNs)are a type of self-organizing network,which consist of a number of stationary or mobile sensor nodens.Due to the limited battery-life of sensor nodes,WSNs are typically designed with energy conservation in mind.Sensors can be designed to spend large amounts of time in a low-power "sleep" mode.In addition the design of such WSNs which comprise energy constrained nodes is typically dictated by a longevity concern.Sleep scheduling is a widely used mechanism in WSNs to reduce the energy consumption since it can save the energy wastage caused by idle listening.Here,a key challenge for WSNs is the design of sleep scheduling that not only strives to reduce average energy consumption but also provides low-delay packet delivery over potentially multiple hops,we present a novel contiguous link sleep scheduling called hierarchical link scheduling with proactive time slots acquisition(H-TSAC)to address that problems.The simulation studies corroborate the theoretical results,and show the efficiency in using the H-TSAC scheme.The main innovation of this thesis are as follows:1.We research lots of classic sleep scheduling and find out that man-y sleep scheduling do not get the energy consumption of state transitions of nodes in consideration.This loophole will lead to large energy waste and we use contiguous sleep scheduling mothed which assigns nodes with consecutive time slots during a scheduled period to reduce the frequency of state transitions to address this problem.2.We design a novel time slots assigned algorithm.In the algorithm,the nodes can acquire the contiguous time slots to switch into the work pattern proactively.This mothed can simplify the time slots assigned process and decrease the energy consumption caused by the process of scheduling.3.We resolve the problem of long system time delay in the contiguous sleep scheduling by design a novel sleep scheduling mothed called hierarchical link scheduling.Thus,the thesis we proposed in our paper get an optimal balance performance between the energy consumption and system time delay.