Tradeoff Between Energy Efficiency And Collisions For Mac
• 234 Downloads • Abstract Energy efficiency has been an important concern in wireless sensor networks where Medium Access Control (MAC) protocol plays an important role. However, current MAC protocols designed for energy saving have seldom considered multiple applications coexisting in WSN with variation of traffic load dynamics. In this paper, we propose an adaptive control algorithm at MAC layer to promote energy efficiency. We focus on the tradeoff relation between collisions and control overhead as a reflection of traffic load and propose to balance the tradeoff under the constraints of QoS options. We integrate the algorithm into S-MAC and verify it through NS-2 platform. The simulation results demonstrate that our algorithm achieves observable improvement in energy performance while meeting QoS requirement for different coexisting applications in comparison with S-MAC.
Click the Receive Execution Report Through Email checkbox to enable the email notification. Macmall citrix sys support software maintenance. • You can enable email notification to receive the execution report of upgrading NetScaler SDX instance. From the Software Image drop-down menu, select either Local (your local machine) or Appliance (the build file must be present on the NetScaler MAS virtual appliance). Add the NetScaler SDX instances on which you want to run the upgrade process.
An Energy-Efficient, Scalable and Collision-Free MAC layer Protocol for Wireless Sensor Networks Gaurav Jolly and Mohamed Younis Dept. Of Computer Science and Elec. View the stadiums for world cup. Clone in mac opens gitbox not github for mac.
• 234 Downloads • Abstract Energy efficiency has been an important concern in wireless sensor networks where Medium Access Control (MAC) protocol plays an important role. However, current MAC protocols designed for energy saving have seldom considered multiple applications coexisting in WSN with variation of traffic load dynamics. In this paper, we propose an adaptive control algorithm at MAC layer to promote energy efficiency. We focus on the tradeoff relation between collisions and control overhead as a reflection of traffic load and propose to balance the tradeoff under the constraints of QoS options.
We integrate the algorithm into S-MAC and verify it through NS-2 platform. The simulation results demonstrate that our algorithm achieves observable improvement in energy performance while meeting QoS requirement for different coexisting applications in comparison with S-MAC.