TY - GEN
T1 - Proactive data dissemination to mission sites
AU - Chen, Fangfei
AU - Johnson, Matthew P.
AU - Bar-Noy, Amotz
AU - Fermin, Iris
AU - La Porta, Thomas F.
PY - 2009
Y1 - 2009
N2 - In many situations it is important to deliver information to personnel as they work in the field. We consider such a specialized content distribution application in wireless mesh networks. When a new mission arrives-for example, when an alarm for a fire is reported-data is pushed to storage nodes at the mission site where it may be retrieved locally by responding personnel (e.g., police, firefighters, paramedics, government officials, and the media). It is important that information is available at low latency, when requested or pulled by the personnel. The total latency experienced will be a combination of the push delay (if the personnel arrive at the mission site before all the data can be pushed), and the pull delay. Each delay component will in turn be a function of 1) the hop distance traveled by the data when pushed or pulled and 2) the congestion on the links. In this paper, we define algorithms and protocols that trade-off the push and pull latencies depending on the type of application. Our goal is to choose a storage node assignment minimizing the total latency-based cost. We start with a simple model in which cost is a function of distance, and then extend the model explicitly taking congestion into account. Since the problem is NP-hard to approximate, our focus is on developing efficient algorithms and distributed protocols that can be easily deployed in wireless mesh networks. In NS2 simulations, we find that our heuristic algorithms achieve on average a cost within at most 15% of the optimum.
AB - In many situations it is important to deliver information to personnel as they work in the field. We consider such a specialized content distribution application in wireless mesh networks. When a new mission arrives-for example, when an alarm for a fire is reported-data is pushed to storage nodes at the mission site where it may be retrieved locally by responding personnel (e.g., police, firefighters, paramedics, government officials, and the media). It is important that information is available at low latency, when requested or pulled by the personnel. The total latency experienced will be a combination of the push delay (if the personnel arrive at the mission site before all the data can be pushed), and the pull delay. Each delay component will in turn be a function of 1) the hop distance traveled by the data when pushed or pulled and 2) the congestion on the links. In this paper, we define algorithms and protocols that trade-off the push and pull latencies depending on the type of application. Our goal is to choose a storage node assignment minimizing the total latency-based cost. We start with a simple model in which cost is a function of distance, and then extend the model explicitly taking congestion into account. Since the problem is NP-hard to approximate, our focus is on developing efficient algorithms and distributed protocols that can be easily deployed in wireless mesh networks. In NS2 simulations, we find that our heuristic algorithms achieve on average a cost within at most 15% of the optimum.
UR - http://www.scopus.com/inward/record.url?scp=70449587069&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449587069&partnerID=8YFLogxK
U2 - 10.1109/SAHCN.2009.5168964
DO - 10.1109/SAHCN.2009.5168964
M3 - Conference contribution
AN - SCOPUS:70449587069
SN - 9781424429080
T3 - 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009
BT - 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009
T2 - 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009
Y2 - 22 June 2009 through 26 June 2009
ER -