Title :
Optimal Duty Cycling and Rate Control for Wireless Sensor and Vehicular Networks
Author :
Arshad, S.A. ; Murtaza, M.A. ; Tahir, M.
Author_Institution :
Dept. of Electr. Eng., Univ. of Eng. & Technol., Lahore, Pakistan
Abstract :
For integrated wireless sensor and vehicular networks, an optimal duty cycle based energy efficient transmission strategy for roadside sensor nodes is proposed. Our energy minimization strategy consists of two components: Duty Cycle Adaptation (DCA) and Packet Length Control (PLC). In the DCA phase, the active time for the node is adjusted in accordance with the probability of arrival of vehicular node and beacon catch. In PLC phase, an optimal packet length for transmission to vehicular node is chosen on the basis of current wireless channel conditions. By employing semi Markov decision based framework, the optimal duty cycle and packet length for successful transmission is obtained as a stochastic policy, which results in the energy conservation of the sensor nodes. The model is flexible and can be realized using look up table approach. Performance evaluation results show the significance of the proposed policy.
Keywords :
Markov processes; table lookup; telecommunication power management; vehicular ad hoc networks; wireless channels; wireless sensor networks; PLC phase; duty cycle adaptation; energy efficient transmission strategy; energy minimization strategy; look up table approach; optimal duty cycling; optimal packet length; packet length control; rate control; roadside sensor nodes; semi Markov decision; stochastic policy; vehicular networks; wireless channel conditions; wireless sensor networks; Batteries; Error probability; Markov processes; Performance evaluation; Throughput; Wireless communication; Wireless sensor networks;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2014 IEEE 79th
Conference_Location :
Seoul
DOI :
10.1109/VTCSpring.2014.7023025