Impact of sleep in a wireless sensor MAC protocol

Sabitha, R.; Huang, Hong; Balakrishnan, Manikanden; Mullen, John D.

doi:10.1109/vetecf.2004.1404966

Cited by 16 publications

(7 citation statements)

References 5 publications

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“…Let R be the transmission range of each node, expressed in terms of number of links. This means that whenever a node transmits a packet, due to the broadcast nature of the wireless channel, the packet can be received by a set SR of nodes, composed by all the nodes inside the coverage area of the sender that are in a listen state (consider that most of the Media Access Control (MAC) protocols for WSNs are low duty cycle protocols that awake nodes only when necessary, by letting nodes in a sleep state during the rest of the time to save energy [7]). For example, by considering R = 2 and by referring to Figure 1, when node 3 broadcasts a packet, the packet can be received by the set SR of nodes, with SR = {1, 2, 4,5}.…”

Section: System Modelmentioning

confidence: 99%

Reliable Data Forwarding in Wireless Sensor Networks: Delay and Energy Trade Off

Chahine¹,

Taddia²,

Mazzini³

2010

Communications and Networking

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Section: System Modelmentioning

confidence: 99%

Reliable Data Forwarding in Wireless Sensor Networks: Delay and Energy Trade Off

Chahine¹,

Taddia²,

Mazzini³

2010

Communications and Networking

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“…Recently, several analytical models have been proposed to analyze the impact of sleep on the network performance in WSN [2]. However, only a few works focus on modeling the S-MAC protocol [3][4]. In [3], the authors study the trade-off between energy consumption and average delay, but they use the probability taken from the analytical result for the IEEE 802.11 DCF under saturated condition [5] to computer the contention delay under non-saturated condition.…”

Section: Introductionmentioning

confidence: 99%

“…However, only a few works focus on modeling the S-MAC protocol [3][4]. In [3], the authors study the trade-off between energy consumption and average delay, but they use the probability taken from the analytical result for the IEEE 802.11 DCF under saturated condition [5] to computer the contention delay under non-saturated condition. The model presented in [4] provides an analysis of energy consumption, but it fails to consider an important fact that the probabilities of different nodes having no packets in their transmission queues are not ind 1 ependent of each other.…”

Section: Introductionmentioning

confidence: 99%

Modeling the S-MAC Protocol in Single-Hop Wireless Sensor Networks

Zhang

Jiang

2008

2008 IEEE International Conference on Communications

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In this paper, we present a new analytical model to accurately evaluate the throughput, service delay and the energy consumption of S-MAC protocol. Our model takes into account the impact of several factors together, including periodic listen and sleep cycle, various incoming traffic loads, the backoff mechanism in S-MAC, the queuing behavior at the MAC layer, and the dependency of service delay distributions among the nodes. Simulations show that our analytical results are highly accurate. Based on our model, we study how the listen and sleep cycle effects the trade-off between energy consumption and quality of service (QoS) requirement, and further derive the optimal value for duty cycle under different traffic conditions.

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“…In [11], the authors evaluate an expression for average delay in a one-hop network that employs a random access MAC with sleep. Percolation based approach is used in [12] to analyze bounds on delay incurred in reporting a sensed event to a sink of a dense sensor network.…”

Section: Introductionmentioning

confidence: 99%

Delay and capacity in energy efficient sensor networks

Bisnik

Abouzeid

2007

Proceedings of the 4th ACM Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor,and Ubiquitous Networks

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MAC protocols for wireless sensor networks employ periodic switching to low energy sleep state in order to enhance network lifetime. During the sleep state, the sensors do not perform energy consuming operations such as receiving and transmitting packets. During the normal state, CSMA based multi-access mechanism is the MAC protocol of choice in distributed, unsynchronized sensor networks. The energy conserving mechanism has a two-fold effect on delay in the network. On one hand it increases delay since many a times the intended receiver may be in sleep state and the transmitter has to delay the transmission to allow the receiver to wake up. On the other hand, since the sensors do not transmit in sleep state, the contention for channel is reduced which tends to improve delay. In this paper we present a queuing theoretic analysis of delay and capacity in sensor networks with uncoordinated sleep mechanism and characterize the energy-delay-capacity tradeoffs. We consider several sleep states which consume different levels of energy. We model sensor networks as queuing networks and evaluate closed form expressions for average packet delay and maximum achievable pernode throughput in terms of network parameters and sleep schedule. Comparisons with the performance of networks that do not employ any energy conserving mechanisms show that any of the energy conserving sleep states in the networks considered in this paper leads to considerable degradation in delay and capacity of the network.

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Impact of sleep in a wireless sensor MAC protocol

Cited by 16 publications

References 5 publications

Reliable Data Forwarding in Wireless Sensor Networks: Delay and Energy Trade Off

Reliable Data Forwarding in Wireless Sensor Networks: Delay and Energy Trade Off

Modeling the S-MAC Protocol in Single-Hop Wireless Sensor Networks

Delay and capacity in energy efficient sensor networks

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