Abstract
We consider clustered wireless networks, where transceivers in a cluster use a time-slotted mechanism (TDMA) to access a wireless channel that is shared among several clusters. An approximate expression for the packet-loss probability is derived for networks with one or more mutually interfering clusters in Rayleigh fading environments, and the approximation is shown to be good for relevant scenarios. We then present a scheduling algorithm, based on Lagrangian duality, that exploits the derived packet-loss model in an attempt to minimize the average packet-loss probability in the network. Computer simulations of the proposed scheduling algorithm show that a significant increase in network throughput can be achieved compared to uncoordinated scheduling. Empirical trials also indicate that the proposed optimization algorithm almost always converges to an optimal schedule with a reasonable number of iterations. Thus, the proposed algorithm can also be used for bench-marking suboptimal scheduling algorithms.
Highlights
One of the problems with many wireless networks today is energy consumption, stemming from the fact that modern radio transceivers are often battery powered, and, energy is a scarce resource that needs to be conserved as much as possible
Recent work on energy consumption in wireless sensor networks (WSNs) has shown that most wireless sensor devices consume almost as much energy when listening to the wireless channel, or even being in idle mode, as they do when actively transmitting a packet [1, Chapter 2]
Computer simulations of networks with transmissions scheduled by the proposed algorithm showed that a significant increase in network throughput is achievable as σω = 0 σω = 10Ts σω = 20Ts σω = 40Ts σω = 120Ts compared to the case where clusters choose schedules independently without considering the schedules at interfering clusters
Summary
One of the problems with many wireless networks today is energy consumption, stemming from the fact that modern radio transceivers are often battery powered, and, energy is a scarce resource that needs to be conserved as much as possible. We include Rayleigh fading and log-distance path loss in the system model and propose a TDMAtype MAC mechanism that jointly schedules transmissions between nodes and cluster heads with the objective to minimize the average packet error rate (PER), In general, they are not equal but closely related.) that is, to maximize the total network throughput.
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