scholarly journals A Hybrid Node Scheduling Approach Based on Energy Efficient Chain Routing for WSN

2014 ◽  
Vol 6 ◽  
pp. 254761 ◽  
Author(s):  
Yimei Kang ◽  
Bin Hu ◽  
Yi Ding ◽  
Jingdong Tan

Energy efficiency is usually a significant goal in wireless sensor networks (WSNs). In this work, an energy efficient chain (EEC) data routing approach is first presented. The coverage and connectivity of WSNs are discussed based on EEC. A hybrid node scheduling approach is then proposed. It includes sleep scheduling for cyclically monitoring regions of interest in time-driven modes and wakeup scheduling for tracking emergency events in event-driven modes. A failure rate is introduced to the sleep scheduling to improve the reliability of the system. A wakeup sensor threshold and a sleep time threshold are introduced in the wakeup scheduling to reduce the consumption of energy to the possible extent. The results of the simulation show that the proposed algorithm can extend the effective lifetime of the network to twice that of PEAS. In addition, the proposed methods are computing efficient because they are very simple to implement.

2010 ◽  
Vol E93-B (11) ◽  
pp. 2912-2924
Author(s):  
Tian HAO ◽  
Masayuki IWAI ◽  
Yoshito TOBE ◽  
Kaoru SEZAKI

2019 ◽  
Vol 6 (4) ◽  
pp. 6237-6246 ◽  
Author(s):  
Rongrong Zhang ◽  
Amiya Nayak ◽  
Shurong Zhang ◽  
Jihong Yu

Author(s):  
Hadi Abbas ◽  
Youngki Kim ◽  
Jason B. Siegel ◽  
Denise M. Rizzo

This paper presents a study of energy-efficient operation of vehicles with electrified powertrains leveraging route information, such as road grades, to adjust the speed trajectory. First, Pontryagin’s Maximum Principle (PMP) is applied to derive necessary conditions and to determine the possible operating modes. The analysis shows that only 5 modes are required to achieve minimum energy consumption; full propulsion, cruising, coasting, full regeneration, and full regeneration with conventional braking. The minimum energy consumption problem is reformulated and solved in the distance domain using Dynamic Programming to optimize speed profiles. A case study is shown for a light weight military robot including road grades. For this system, a tradeoff between energy consumption and trip time was found. The optimal cycle uses 20% less energy for the same trip duration, or could reduce the travel time by 14% with the same energy consumption compared to the baseline operation.


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