Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks
Broadcast is widely used in applications in wireless sensor networks (WSNs). In the last decade, the broadcast problem in WSNs has been well studied. However, few of existing broadcasting strategies have considered the scenarios with sleeping schedules, which have been emerging as a prevalent energy...
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doaj-cba133fdaccb462a862638cd5807e3c12020-11-25T02:52:40ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-12-01910.1155/2013/451970451970Sleeping Schedule-Aware Local Broadcast in Wireless Sensor NetworksJue Hong0Zhuo Li1Dianjie Lu2Sanglu Lu3 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China State Key Lab of Novel Software Technology, Nanjing University, Nanjing, Jiangsu 210023, China School of Information Science and Engineering, Shandong Normal University, Jinan, Shandong 250014, China State Key Lab of Novel Software Technology, Nanjing University, Nanjing, Jiangsu 210023, ChinaBroadcast is widely used in applications in wireless sensor networks (WSNs). In the last decade, the broadcast problem in WSNs has been well studied. However, few of existing broadcasting strategies have considered the scenarios with sleeping schedules, which have been emerging as a prevalent energy-saving method for WSNs. In WSNs with sleeping schedule, each node switches on and off periodically, rendering the broadcast problem more difficult. To handle the periodical sleep issue, we focus on designing effective sleeping schedule-aware broadcast algorithms. We practically propose SALB, a sleeping schedule-aware local broadcast algorithm. In SALB, a typical local algorithm for constructing connected dominating set is employed to form the broadcast backbone. To guarantee proper transmission of broadcast messages, a sleep-aware forwarding mechanism is implemented. Moreover, heuristic strategies are used to decrease the number of transmissions and the broadcast latency. Theoretical analysis shows that the number of transmissions for SALB is within 4(min(Δ, | T | ) + c ) ( c is constant) is constant) times of the optimal value. And the broadcast latency of SALB is within 4 | T | + 1 times of the optimal value (Δ is the maximum degree in the network, | T | is the scheduling period length). The performance of SALB is evaluated via simulations.https://doi.org/10.1155/2013/451970 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jue Hong Zhuo Li Dianjie Lu Sanglu Lu |
spellingShingle |
Jue Hong Zhuo Li Dianjie Lu Sanglu Lu Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks International Journal of Distributed Sensor Networks |
author_facet |
Jue Hong Zhuo Li Dianjie Lu Sanglu Lu |
author_sort |
Jue Hong |
title |
Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks |
title_short |
Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks |
title_full |
Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks |
title_fullStr |
Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks |
title_full_unstemmed |
Sleeping Schedule-Aware Local Broadcast in Wireless Sensor Networks |
title_sort |
sleeping schedule-aware local broadcast in wireless sensor networks |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2013-12-01 |
description |
Broadcast is widely used in applications in wireless sensor networks (WSNs). In the last decade, the broadcast problem in WSNs has been well studied. However, few of existing broadcasting strategies have considered the scenarios with sleeping schedules, which have been emerging as a prevalent energy-saving method for WSNs. In WSNs with sleeping schedule, each node switches on and off periodically, rendering the broadcast problem more difficult. To handle the periodical sleep issue, we focus on designing effective sleeping schedule-aware broadcast algorithms. We practically propose SALB, a sleeping schedule-aware local broadcast algorithm. In SALB, a typical local algorithm for constructing connected dominating set is employed to form the broadcast backbone. To guarantee proper transmission of broadcast messages, a sleep-aware forwarding mechanism is implemented. Moreover, heuristic strategies are used to decrease the number of transmissions and the broadcast latency. Theoretical analysis shows that the number of transmissions for SALB is within 4(min(Δ, | T | ) + c ) ( c is constant) is constant) times of the optimal value. And the broadcast latency of SALB is within 4 | T | + 1 times of the optimal value (Δ is the maximum degree in the network, | T | is the scheduling period length). The performance of SALB is evaluated via simulations. |
url |
https://doi.org/10.1155/2013/451970 |
work_keys_str_mv |
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