TY - GEN
T1 - Sensor network gossiping or how to break the broadcast lower bound
AU - Farach-Colton, Martín
AU - Mosteiro, Miguel A.
PY - 2007
Y1 - 2007
N2 - Gossiping is an important problem in Radio Networks that has been well studied, leading to many important results. Due to strong resouce limitations of sensor nodes, previous solutions are frequently not feasible in Sensor Networks. In this paper, we study the gossiping problem in the restrictive context of Sensor Networks. By exploiting the geometry of sensor node distributions, we present reduced, optimal running time of O(D + Δ) for an algorithm that completes gossiping with high probability in a Sensor Network of unknown topology and adversarial wake-up, where D is the diameter and Δ the maximum degree of the network. Given that an algorithm for gossiping also solves the broadcast problem, our result proves that the classic lower bound of [16] can be broken if nodes are allowed to do preprocessing.
AB - Gossiping is an important problem in Radio Networks that has been well studied, leading to many important results. Due to strong resouce limitations of sensor nodes, previous solutions are frequently not feasible in Sensor Networks. In this paper, we study the gossiping problem in the restrictive context of Sensor Networks. By exploiting the geometry of sensor node distributions, we present reduced, optimal running time of O(D + Δ) for an algorithm that completes gossiping with high probability in a Sensor Network of unknown topology and adversarial wake-up, where D is the diameter and Δ the maximum degree of the network. Given that an algorithm for gossiping also solves the broadcast problem, our result proves that the classic lower bound of [16] can be broken if nodes are allowed to do preprocessing.
UR - http://www.scopus.com/inward/record.url?scp=38149116968&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-77120-3_22
DO - 10.1007/978-3-540-77120-3_22
M3 - Conference contribution
AN - SCOPUS:38149116968
SN - 9783540771180
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 232
EP - 243
BT - Algorithms and Computation - 18th International Symposium, ISAAC 2007, Proceedings
PB - Springer Verlag
T2 - 18th International Symposium on Algorithms and Computation, ISAAC 2007
Y2 - 17 December 2007 through 19 December 2007
ER -