EHPBS: Energy harvesting prediction based scheduling in wireless sensor networks
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28042
2013 4th Annual International Conference on Energy Aware Computing Systems and Applications, ICEAC 2013
- Conference Paper 
IEEE Computer Society
The clustering algorithms designed for traditional sensor networks have been adapted for energy harvesting sensor networks (EHWSN). However, in these algorithms, the intra-cluster MAC protocols to be used were either not defined at all or they were TDMA based. These TDMA based MAC protocols are not specified except for the fact that cluster heads assign time slots to their members in a random manner. In this paper, we will modify this TDMA based scheduling as follows: members will request a time slot depending on their energy prediction and the cluster heads will assign these slots to members. This method will increase the network lifetime. The proof will be given with simulations. © 2013 IEEE.
Showing items related by title, author, creator and subject.
Bulut, E.; Korpeoglu I. (2011)Sleep scheduling, which is putting some sensor nodes into sleep mode without harming network functionality, is a common method to reduce energy consumption in dense wireless sensor networks. This paper proposes a distributed ...
Aslan, Y.E.; Korpeoglu I.; Ulusoy, T. (2012)Forest fires are one of the main causes of environmental degradation nowadays. Current surveillance systems for forest fires lack in supporting real-time monitoring of every point of a region at all times and early detection ...
Ali, S.A.; Sevgi, C. (2012)Clustering can be used as an effective technique to achieve both energy load balancing and an extended lifetime for a wireless sensor network (WSN). This paper presents a novel approach that first creates energy balanced ...