DocumentCode
678024
Title
A Energy-Preserving Model for Wireless Sensors Networks Based on Heuristic Self-Organized Routing
Author
La Corte, Aurelio ; Di Stefano, Alessandro ; Scata, Marialisa ; Leotta, Maurizio
Author_Institution
Dept. of Electr., Electron. & Comput. Sci. Eng. DIEEI, Univ. of Catania, Catania, Italy
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
3198
Lastpage
3202
Abstract
One of the main targets related to Wireless Sensor Networks (WSNs) is to reduce power consumption of nodes and of the whole network. An ideal WSN should be networked, scalable, fault-tolerant, energy-aware, and also smart and efficient. Unfortunately, however, this is not always true. The basic idea of the proposal is that senders use a heuristic approach to select the sub-optimal next hop in order to reach just one sink, considering some key requirements such as general performance (QoS and security), efficiency, trust ability, high computational power and energy-aware behaviour. Our model tries to satisfy the need for reaching the nearest sink node, considering a trade-off between the shortest path and heuristic decisions, in a top-level strategy based on a heuristic approach in order to reduce the overall power consumption of nodes of the network.
Keywords
power consumption; quality of service; telecommunication network routing; telecommunication security; wireless sensor networks; QoS; WSN; computational power; energy-aware behaviour; energy-preserving model; heuristic approach; heuristic decisions; heuristic self-organized routing; nearest sink node; power consumption; shortest path; sub-optimal next hop; top-level strategy; trust ability; wireless sensor networks; Batteries; Network topology; Routing; Routing protocols; Sensors; Topology; Wireless sensor networks; Energy-Aware Routing; Heuristics; Self-Organization; WSNs;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.545
Filename
6722298
Link To Document