An energy-aware routing protocol for query-based applications in wireless sensor networks.
Wireless sensor network (WSN) typically has energy consumption restriction. Designing energy-aware routing protocol can significantly reduce energy consumption in WSNs. Energy-aware routing protocols can be classified into two categories, energy savers and energy balancers. Energy saving protocols are used to minimize the overall energy consumed by a WSN, while energy balancing protocols attempt to efficiently distribute the consumption of energy throughout the network. In general terms, energy saving protocols are not necessarily good at balancing energy consumption and energy balancing protocols are not always good at reducing energy consumption. In this paper, we propose an energy-aware routing protocol (ERP) for query-based applications in WSNs, which offers a good trade-off between traditional energy balancing and energy saving objectives and supports a soft real time packet delivery. This is achieved by means of fuzzy sets and learning automata techniques along with zonal broadcasting to decrease total energy consumption.
Wireless Networks and Multimedia Services Department, Institut Mines-Telecom, Telecom SudParis, 9 rue Charles Fourier, 91011 Evry Cedex, France.
Ehsan
0000-0001-7366-8288
E
Ahvar
Electrical and Computer Engineering Department, Isfahan University of Technology, Isfahan, Iran.
Shohreh
0000-0001-9615-0510
S
Ahvar
Wireless Networks and Multimedia Services Department, Institut Mines-Telecom, Telecom SudParis, 9 rue Charles Fourier, 91011 Evry Cedex, France.
Gyu Myoung
0000-0002-2155-5553
GM
Lee
Wireless Networks and Multimedia Services Department, Institut Mines-Telecom, Telecom SudParis, 9 rue Charles Fourier, 91011 Evry Cedex, France.
Noel
N
Crespi
D003195:Computer Communication Networks / Q000295:instrumentation*; D003198:Computer Simulation; D017076:Computer-Aided Design; D003246:Conservation of Energy Resources / Q000379:methods*; D011211:Electric Power Supplies; D004867:Equipment Design; D019544:Equipment Failure Analysis; D016247:Information Storage and Retrieval / Q000379:methods*; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014159:Transducers; D059015:Wireless Technology / Q000295:instrumentation*