Joint Adaptive Modulation and Adaptive MAC Protocols for Wireless Sensor Networks

Zhao, Xiao Guang; Bdira, Elyes; Ibnkahla, Mohamed

doi:10.5120/15098-3492

Cited by 1 publication

(3 citation statements)

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“…This action can be to adapt transmit power, data rate, or both. Duty cycle adaptation directly follows data rate adaptation, similar to the idea proposed in [12]. If the data rate is increased, the duty cycle is decreased, and vice versa.…”

Section: Designing a Wcm For Transmit Power Data Rate Andmentioning

confidence: 99%

“…Thus, in one time slot, a node may wake up, sense the medium, transmit one packet, and go back to sleep mode. Moreover, it is assumed that the active portion of the duty cycle is adaptive according to the data rate utilized, similar to the algorithm proposed in [12], which has been previously reviewed in Section 2. If there are redundant nodes in the network, which is probable WSN, not all nodes will wake up in every duty cycle.…”

Section: System Modelmentioning

confidence: 99%

“…In [12], a protocol for adapting transmit power, data rate, and duty cycle was proposed with the goal of improving energy efficiency and throughput. In this protocol, nodes that observed good channel conditions transmitted at higher data rates and therefore could conclude their transmissions earlier and stay in sleep state for longer periods.…”

Section: Related Workmentioning

confidence: 99%

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A Cross-Layer Framework for Network Management in Wireless Sensor Networks Using Weighted Cognitive Maps

Elmougy

Ibnkahla

2013

International Journal of Distributed Sensor Networks

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Achieving the end-to-end goals and objectives of Wireless Sensor Networks (WSN) is a highly challenging task. Such objectives include maximizing network lifetime, guaranteeing connectivity and coverage, and maximizing throughput. In addition, some of these goals are in conflict such as network lifetime and throughput. Cross-layer design can be efficient in proposing network management techniques that can consider different network objectives and conflicting constraints. This can be highly valuable in challenging applications where multiple Quality of Service (QoS) requirements may be demanded. In this paper, a novel crosslayer framework for network management is proposed that particularly targets WSN with challenging applications. The proposed framework is designed using the tool known as Weighted Cognitive Map (WCM). The inference properties of WCMs allow the system to consider multiple objectives and constraints while maintaining low complexity. Methods for achieving different objectives using WCMs are illustrated, as well as how system processes can operate coherently to achieve common end-to-end goals. Using extensive computer simulations, the proposed system is evaluated. The results show that it achieves good performance results in metrics of network lifetime, throughput, and Packet Loss Ratio (PLR).

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Section: Designing a Wcm For Transmit Power Data Rate Andmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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