TY - GEN
T1 - Green wave
T2 - IEEE INFOCOM 2010
AU - Guha, Saikat
AU - Chau, Chi Kin
AU - Basu, Prithwish
PY - 2010
Y1 - 2010
N2 - While scheduling the nodes in a wireless network to sleep periodically can save energy, it also incurs higher latency and lower throughput. We consider the problem of designing optimal sleep schedules in wireless networks, and show that finding sleep schedules that can minimize the latency over a given subset of source-destination pairs is NP-hard. We also derive a latency lower bound given by d+O(1/p) for any sleep schedule with a required active rate (i.e., the fraction of active slots of each node) p, and the shortest path length d. We offer a novel solution to optimal sleep scheduling using green-wave sleep scheduling (GWSS), inspired by coordinated traffic lights, which is shown to meet our latency lower bound (hence is latency-optimal) for topologies such as the line, grid, ring, torus and tree networks, under light traffic. For high traffic loads, we propose non-interfering GWSS, which can achieve the maximum throughput scaling law given by T(n, p) = Ω(p/√n) bits/sec on a grid network of size n, with a latency scaling law D(n, p) = O(√n)+O(1/p). Finally, we extend GWSS to a random network with n Poisson-distributed nodes, for which we show an achievable throughput scaling law of T(n, p) = Ω(p/√n log n) bits/sec and a corresponding latency scaling law D(n, p) = O(√n/ log n) + O(1/p); hence meeting the well-known Gupta-Kumar achievable throughput rate Ω(1/√n log n) when p → 1.
AB - While scheduling the nodes in a wireless network to sleep periodically can save energy, it also incurs higher latency and lower throughput. We consider the problem of designing optimal sleep schedules in wireless networks, and show that finding sleep schedules that can minimize the latency over a given subset of source-destination pairs is NP-hard. We also derive a latency lower bound given by d+O(1/p) for any sleep schedule with a required active rate (i.e., the fraction of active slots of each node) p, and the shortest path length d. We offer a novel solution to optimal sleep scheduling using green-wave sleep scheduling (GWSS), inspired by coordinated traffic lights, which is shown to meet our latency lower bound (hence is latency-optimal) for topologies such as the line, grid, ring, torus and tree networks, under light traffic. For high traffic loads, we propose non-interfering GWSS, which can achieve the maximum throughput scaling law given by T(n, p) = Ω(p/√n) bits/sec on a grid network of size n, with a latency scaling law D(n, p) = O(√n)+O(1/p). Finally, we extend GWSS to a random network with n Poisson-distributed nodes, for which we show an achievable throughput scaling law of T(n, p) = Ω(p/√n log n) bits/sec and a corresponding latency scaling law D(n, p) = O(√n/ log n) + O(1/p); hence meeting the well-known Gupta-Kumar achievable throughput rate Ω(1/√n log n) when p → 1.
UR - http://www.scopus.com/inward/record.url?scp=77953306738&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953306738&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2010.5462011
DO - 10.1109/INFCOM.2010.5462011
M3 - Conference contribution
AN - SCOPUS:77953306738
SN - 9781424458363
T3 - Proceedings - IEEE INFOCOM
BT - 2010 Proceedings IEEE INFOCOM
Y2 - 14 March 2010 through 19 March 2010
ER -