| Title |
Energy and Congestion-Aware Routing Metric for Smart Grid AMI Networks in Smart City |
| ID_Doc |
38948 |
| Authors |
Ullah, R; Faheem, Y; Kim, BS |
| Title |
Energy and Congestion-Aware Routing Metric for Smart Grid AMI Networks in Smart City |
| Year |
2017 |
| Published |
|
| DOI |
10.1109/ACCESS.2017.2728623 |
| Abstract |
Advanced metering infrastructure (AMI) is becoming a vital part of utility distribution networks, allowing the development of smart cities. AMI consists of smart electric, gas, and water meters, and the devices are very limited in terms of battery, processing power, and memory. The deployment and operational needs of energy-constrained network infrastructures in smart water and gas metering systems require the use of routing mechanisms that consider energy consumption, minimize energy use, and prolong network lifetime. An efficient routing metric is needed for energy-constrained devices. In this paper, we propose an energy-and congestion-aware routing metric for smart meter networks to be deployed in smart cities. The proposed metric is an adaptive parent node selection mechanism that considers the residual energy and queue utilization of neighboring nodes. Minimizing power consumption will enhance network lifetime. The proposed scheme was evaluated with the Cooja Simulator 3.0 using random and grid topology. The simulation results show greater network performance in terms of average power consumption and packet delivery ratio. |
| Author Keywords |
Low power and lossy networks; smart city; smart grid; 802.15.4; advance metering infrastructure (AMI); IoT; 6LoWPAN |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000414328800001 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://doi.org/10.1109/access.2017.2728623
|