TY - GEN
T1 - Floating information with stationary nodes
AU - Hyytiä, Esa
AU - Lassila, Pasi
AU - Ott, Jörg
AU - Kangasharju, Jussi
PY - 2012
Y1 - 2012
N2 - In the Floating Content application, mobile nodes collectively store and disseminate messages relevant to a certain area by using the principles of opportunistic networking. The system operates in best effort fashion relying solely on the nodes located in the area of interest, which is referred to as the anchor zone of the message. Past work has focused on mobility models, where the nodes are constantly moving and the messages are exchanged on-the-fly. In this paper, we consider the case, where messages can be exchanged only when two nodes are stationary within each others' transmission range. Our objective is to characterize when the information floats, that is, when it is likely to remain available for long periods of time. We find that there exists a certain threshold for the mean node degree, which we refer to as the permanence threshold, above which the expected lifetime of the information increases very rapidly (in a finite system) or the information becomes permanent (in an infinite system). This threshold is about 1.3 for the basic case (a single stop per visit), which is clearly below the percolation threshold of about 4.5. Additional stops within the zone improve the situation further.
AB - In the Floating Content application, mobile nodes collectively store and disseminate messages relevant to a certain area by using the principles of opportunistic networking. The system operates in best effort fashion relying solely on the nodes located in the area of interest, which is referred to as the anchor zone of the message. Past work has focused on mobility models, where the nodes are constantly moving and the messages are exchanged on-the-fly. In this paper, we consider the case, where messages can be exchanged only when two nodes are stationary within each others' transmission range. Our objective is to characterize when the information floats, that is, when it is likely to remain available for long periods of time. We find that there exists a certain threshold for the mean node degree, which we refer to as the permanence threshold, above which the expected lifetime of the information increases very rapidly (in a finite system) or the information becomes permanent (in an infinite system). This threshold is about 1.3 for the basic case (a single stop per visit), which is clearly below the percolation threshold of about 4.5. Additional stops within the zone improve the situation further.
UR - https://www.scopus.com/pages/publications/84866893087
M3 - Conference contribution
SN - 9783901882456
T3 - 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, WiOpt 2012
SP - 361
EP - 366
BT - 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, WiOpt 2012
T2 - 2012 10th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, WiOpt 2012
Y2 - 14 May 2012 through 18 May 2012
ER -