TY  - JOUR
TI  - The impact of transmission power levels set size on lifetime of wireless sensor networks in smart grids
AB  - Wireless sensor networks (WSNs) have been confirmed as one of the most promising technologies for manysmart grid (SG) applications due to their low complexity and inexpensive costs. A typical WSN is formed withnumerous battery limited sensor nodes mounted on critical components of a SG system for monitoring applications.Acquired monitoring data by sensor nodes are conveyed to the base station generally by using multihop communicationtechniques. WSN-based SG applications encounter severe propagation losses due to extreme channel conditions of theSG environment. In order to reduce possible packet errors caused by channel variations, transmission power controlapproaches can be adopted where the set size of available transmission power levels differs among the utilized hardwareplatforms. Usage of low transmission power levels can reduce the energy dissipation of nodes, which may lead to highpacket drops. On the other hand, usage of high transmission power levels can prevent packet errors. Nonetheless,this alternative solution may lead to premature death of sensor nodes. Depending on the networking conditions, it ispossible to confront applications such that the utilization of all available power levels provided by the node hardwaremay be unnecessary. In order to overcome this issue, determination of optimal transmission power levels set size forWSN-based SG applications becomes a critical research topic to prolong the network lifetime. In this work, we proposean optimization model to maximize the network lifetime while limiting the size of the transmission power levels set.Furthermore, we propose two strategies that are built on top of the optimization model to investigate the impact ofthe most used and optimal power levels on WSN lifetime considering several SG environments under various networkingconditions.
AU  - YILDIZ, HÜSEYİN UĞUR
DO  - 10.3906/elk-1803-189
PY  - 2018
JO  - Turkish Journal of Electrical Engineering and Computer Sciences
VL  - 26
IS  - 6
SN  - 1300-0632
SP  - 3057
EP  - 3071
DB  - TRDizin
UR  - http://search/yayin/detay/325286
ER  -