Re: [6tsch] R: simulation for random schedule allocation
Xavier Vilajosana Guillen <xvilajosana@eecs.berkeley.edu> Thu, 27 June 2013 17:36 UTC
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Date: Thu, 27 Jun 2013 10:36:23 -0700
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From: Xavier Vilajosana Guillen <xvilajosana@eecs.berkeley.edu>
To: Kris Pister <ksjp@berkeley.edu>
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Subject: Re: [6tsch] R: simulation for random schedule allocation
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what I can do is provide some plots with more details on what will happen in networks with schedules below 20% allocation (which are more realistic cases). I can add number of tries to find a non-collidiing cell and see how long it takes to converge according to the schedule load. regards, Xavi Xavi On Thu, Jun 27, 2013 at 9:28 AM, Kris Pister <ksjp@berkeley.edu> wrote: > >> nodes with a low rank will experience a pretty high collision > probability > > Yes, but only in a really busy network. Let's assume that we are doing > data collection to/through a single dodag root. Let's also assume that the > dodag root has a single radio, so it can only do one thing in any time > slot, and it's smart enough not to schedule more than one thing in any time > slot. We now have a throughput limit out of our network - one packet per > timeslot, corresponding to one RX link per timeslot at the root. That > occupies 1/15th or 1/16th of the available cell space, and collisions from > the one-hop ring to the root are avoided by the root being smart. If all > nodes are in the one-hop ring, we have a single collision domain, and any > sibling connectivity for redundancy will risk collisions. If all nodes are > not in the one-hop ring, then we'll need more links for connectivity not > just redundancy, but by definition we will no long have a single collision > domain. If you try to draw this kind of traffic as a dot on one of Xavi's > plots they end up pretty close to the origin, in the relatively low > collision part of the curves. > > In these limiting cases you can certainly show that an omniscient (or at > least "more-scient") scheduler will give you both higher throughput and > lower energy cost. But its hard to find a single-dodag-radio converge-cast > application where random choice with some mild feedback won't work. > > ksjp > > > On 6/27/2013 1:41 AM, Alfredo Grieco wrote: > >> Hi all, >> >> I guess that the point here is that the simulations of Xavi clearly >> highlight that as the load increases the collision probability increases >> too. I developed some Binomial expressions for a single hop network and >> results are very similar to the ones of Xavi. >> >> Of course the scenarios can be made more and more realistic (as Maria Rita >> and Yoshihiro are suggesting) but the indication of these preliminary >> outcomes seem to be that nodes with a low rank will experience a pretty >> high >> collision probability (due to a higher load) if they choose cells >> according >> to a pure random technique whereas nodes with a high rank can safely use a >> random approach without any problem. >> >> Again, it seems that the rank of a node has to play some role in the >> mechanism used to select cells in order to avoid performance degradation. >> I >> believe that this kind of indication should be provided in some of the >> drafts in progress. >> >> Cheers >> >> Alfredo >> >> Da: 6tsch-bounces@ietf.org [mailto:6tsch-bounces@ietf.org**] Per conto di >> Maria Rita PALATTELLA >> Inviato: Thursday, June 27, 2013 10:08 AM >> A: xvilajosana@eecs.berkeley.edu; yoshihiro.ohba@toshiba.co.jp >> Cc: 6tsch@ietf.org >> Oggetto: Re: [6tsch] simulation for random schedule allocation >> >> Hello Xavi, >> first of all many thanks for having built the code and run this first set >> of >> simulations for the WG. >> I have some questions about the simulations. Please, feel free to ignore >> my >> comments, if they are inappropriate. >> >> 1)"Each node requests a link to each of its neighbors." >> Is it really what we want? In my point of view, each node will ask a set >> of >> links (i.e., cells) according to the paths along which it will transmit >> its >> own traffic, and forwards the traffic received by other neighbors. In >> other >> words, the number of requested cells per node should be less than what we >> are simulating right now. For sure, in the actual scenario, we have higher >> probability of collision. >> >> 2) " the network is represented by a boolean square matrix of >> num_nodes*num_nodes. Two nodes are neighbours if the cell for that two >> nodes >> (indexed by node ids) is true. if X is neighbour of Y the cells (x,y) and >> (y,x) will be true." >> This way of representing the network can create somehow a bit of confusion >> with the TSCH schedule representation, where we have (timeslot, >> channeloffset) cells. >> Can't we find a different way for representing the network, and defying >> the >> set of neighbors? Moreover, this point 2) is linked with point 1) I guess, >> i.e., assuming each node will request a link to each of its neighbors. >> >> 3) "Topology: Random, where each node requests a random number of >> neighbours >> between 2 and 10.” >> Even though I am in favor of having a random topology, and a random number >> of neighbors, maybe, for having a preliminary idea of the network >> behavior, >> we could run a set of simulations, where we fix the number of neighbors >> (i.e., having it constant). Basically, my suggestion is to keep some >> parameters constant, while we change others, in order to see how each of >> them impact the cells allocation. >> >> Thank you! >> Maria Rita >> >> ______________________________**__________ >> From: 6tsch-bounces@ietf.org [6tsch-bounces@ietf.org] on behalf of Xavier >> Vilajosana Guillen [xvilajosana@eecs.berkeley.edu**] >> Sent: Thursday, June 27, 2013 2:27 AM >> To: yoshihiro.ohba@toshiba.co.jp >> Cc: 6tsch@ietf.org >> Subject: Re: [6tsch] simulation for random schedule allocation >> Hi Yoshihiro, >> the network is represented by a boolean square matrix of >> num_nodes*num_nodes. Two nodes are neighbours if the cell for that two >> nodes >> (indexed by node ids) is true. if X is neighbour of Y the cells (x,y) and >> (y,x) will be true. >> When a node requests a link it always requests a TX link, the counter part >> sets it to RX links so a link allocation happens at both sides. In a >> particular node Number of allocated links is the accumulation of both TX >> and >> RX allocated in that node. >> Regarding your question, if X requests a TX link to Y the schedule of X >> allocates a TX link to Y and the schedule of Y allocates a RX link from X. >> If Y requests a TX link to X, X allocates a RX link from Y. >> A link is not allocated in either side if there is a collision, and then I >> increment the collision counter. >> The code is here in case someone wants to play. Sorry it is not very clean >> but I will clean it as soon as I can. If someone modifies it or improves >> it, >> feel free to commit your changes to the repository so the simulator >> becomes >> better. >> >> https://github.com/**xvilajosana/6TSCH<https://github.com/xvilajosana/6TSCH> >> hope this makes things clear. >> regards, >> X >> >> >> >> Xavi >> >> On Wed, Jun 26, 2013 at 3:56 PM, <yoshihiro.ohba@toshiba.co.jp> wrote: >> Hi Xavi, >> Thanks for your explanation. I have better understanding now. >> I have one more question. >> You mentioned “there might be more than one link to a neighbor”. Say >> Node >> X selected only one neighbor Node Y and requests one link to Node Y. The >> resulting number of links associated with Node X can be two (2) when Node >> Y >> also selected Node X as its neighbor and requested one link to Node X. Is >> my understanding correct? >> Yoshihiro Ohba >> From: 6tsch-bounces@ietf.org [mailto:6tsch-bounces@ietf.org**] On >> Behalf Of >> Xavier Vilajosana Guillen >> Sent: Thursday, June 27, 2013 1:33 AM >> To: ohba yoshihiro >> Cc: 6tsch@ietf.org >> Subject: Re: [6tsch] simulation for random schedule allocation >> Hi Yoshihiro, >> you are right, the formulation of the sentence is not correct. Should be: >> >> “Topology: Random, where each node requests a random number of neighbours >> between 2 and 10.” >> this means that each node when created requests a number of neighbors >> between 2 and 10, meaning that other nodes when are created also request >> that number of neighbours and therefore a node can have more than 10 >> neighbours, because other nodes selected it as a neighbour. From the >> simulation results I see that nodes have between 5 and 11 neighbours >> usually. >> However, from the numbers you point, 28 represents the number of allocated >> links (number of allocated cells in the schedule) to its neighbours, there >> might be more than one link to a neighbour in that case. >> regards, >> Xavi >> >> >> Xavi >> On Wed, Jun 26, 2013 at 7:28 AM, <yoshihiro.ohba@toshiba.co.jp> wrote: >> Hi Xavi, >> Thank you very much for the simulation. >> I am trying to understand the simulation model from your description >> and the >> result. >> “Topology: Random, where each node has a random number of neighbors >> between >> 2 and 10.” >> “ >> ************************ requesting 1 links >> Node,Allocated Links,Collisions,Percentage >> 0,28,0,0.0 >> “ >> In the above result, does Node 0 actually have 28 neighbors? >> Regards, >> Yoshihiro Ohba >> From: 6tsch-bounces@ietf.org [mailto:6tsch-bounces@ietf.org**] On >> Behalf Of >> Xavier Vilajosana Guillen >> Sent: Wednesday, June 26, 2013 3:46 AM >> To: 6tsch@ietf.org >> >> Subject: [6tsch] simulation for random schedule allocation >> >> >> Hi all, >> >> I prepared a little simulation to see how random schedule allocation >> behaves. (I have the code in Java in case someone is interested) >> >> here there are some details (everything can be tuned in case someone wants >> to point me to a special case) >> >> Network: 50 nodes >> >> Topology: Random, where each node has a random number of neighbors >> between 2 >> and 10. >> >> Each node requests a link to each of its neighbors. This is done from 1 to >> 10 times (i.e 10 tests, the first requesting 1 link to each neighbour, the >> second 2, etc.. up to 10 links to each of the neighbors, can be >> configured) >> >> The slotframe is 101 slots and 16 channels. >> >> The simulation prints statistics for the test (and the collisions if we >> are >> interested.) >> I used pseudo random generator from the java language assuming it provides >> uniform or almost uniform distribution. >> The allocation counter counts both the number of links allocated as tx and >> the number of links allocated as rx due to a neighbour allocating a link >> to >> the actual node. The percentage is the % of collisions w.r.t the allocated >> links. >> Worst case is around 11% when allocating 10 links to each neighbour in >> that >> 50 node network. >> I can play more on it but I wanted to share that initial results. >> please see attached file for the results. >> regards, >> Xavi >> >> >> ______________________________**_________________ >> 6tsch mailing list >> 6tsch@ietf.org >> https://www.ietf.org/mailman/**listinfo/6tsch<https://www.ietf.org/mailman/listinfo/6tsch> >> > > ______________________________**_________________ > 6tsch mailing list > 6tsch@ietf.org > https://www.ietf.org/mailman/**listinfo/6tsch<https://www.ietf.org/mailman/listinfo/6tsch> >
- Re: [6tsch] simulation for random schedule alloca… Xavier Vilajosana Guillen
- Re: [6tsch] simulation for random schedule alloca… yoshihiro.ohba
- Re: [6tsch] simulation for random schedule alloca… Xavier Vilajosana Guillen
- [6tsch] simulation for random schedule allocation Xavier Vilajosana Guillen
- [6tsch] simulation for random schedule allocation Xavier Vilajosana Guillen
- [6tsch] simulation for random schedule allocation Xavier Vilajosana Guillen
- Re: [6tsch] simulation for random schedule alloca… Thomas Watteyne
- Re: [6tsch] simulation for random schedule alloca… Qin Wang
- Re: [6tsch] simulation for random schedule alloca… yoshihiro.ohba
- Re: [6tsch] simulation for random schedule alloca… Xavier Vilajosana Guillen
- Re: [6tsch] simulation for random schedule alloca… Maria Rita PALATTELLA
- [6tsch] R: simulation for random schedule allocat… Alfredo Grieco
- Re: [6tsch] simulation for random schedule alloca… Xavier Vilajosana Guillen
- Re: [6tsch] simulation for random schedule alloca… Qin Wang
- Re: [6tsch] R: simulation for random schedule all… Kris Pister
- Re: [6tsch] simulation for random schedule alloca… Xavier Vilajosana Guillen
- Re: [6tsch] R: simulation for random schedule all… Xavier Vilajosana Guillen
- Re: [6tsch] simulation for random schedule alloca… Qin Wang
- Re: [6tsch] simulation for random schedule alloca… Thomas Watteyne
- Re: [6tsch] simulation for random schedule alloca… Qin Wang
- Re: [6tsch] simulation for random schedule alloca… Maria Rita PALATTELLA