2011/03/18 by Nurşen Aydın, Aydin, Nursen, Mehmet Karaca +3
Computer Science · Engineering · #Energy Efficient Wireless Sensor Networks #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Molecular Communication and Nanonetworks #Networking and Internet Architecture (cs.NI) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1103.3616
openalex publication_date 2011/03/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Energy consumption of a wireless sensor node mainly depends on the amount of time the node spends in each of the high power active (e.g., transmit, receive) and low power sleep modes. It has been well established that in order to prolong node's lifetime the duty-cycle of the node should be low. However, low power sleep modes usually have low current draw but high energy cost while switching to the active mode with a higher current draw. In this work, we investigate a MaxWeightlike opportunistic sleep-active scheduling algorithm that takes into account time- varying channel and traffic conditions. We show that our algorithm is energy optimal in the sense that the proposed ESS algorithm can achieve an energy consumption which is arbitrarily close to the global minimum solution. Simulation studies are provided to confirm the theoretical results.