Loading...
Please wait, while we are loading the content...
Similar Documents
Routing Optimization for Wireless Sensor Networks using Fuzzy Ant Colony
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mualuko, Veronicah Mwende Kihato, Peter K. Oduol, Vitalice |
| Copyright Year | 2017 |
| Abstract | For industrial applications to work efficiently, it is good to establish routes in Wireless sensor networks (WSN) since they operate on battery and maybe restricted in terms of energy. This paper focused on designing a routing technique that increased the energy conservation of a WSN in order to preserve the battery life. Three parameters were considered in making a decision for the route to be taken which were the sensor energy in joules, the amount of traffic in Erlang and the distance in meters required for a packet to be sent from the source to the destination node. The routing protocol was based on fuzzy logic and ant colony optimization algorithm(FACO). Fuzzy logic was used to calculate the total node cost to the gateway by considering the traffic load in the node and the energy of the node. Ant colony optimization(ACO) was used to search and establish the shortest route from source to destination sensor node which was evaluated based on the shortest distance. The results which were done on Matlab simulation shown improved performance in energy conservation as compared to performance of ACO under the same conditions. This improved routing algorithm can be used in industrial applications using WSN. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.ripublication.com/ijaer17/ijaerv12n21_151.pdf |
| Alternate Webpage(s) | http://www.ripublication.com/ijaer17/ijaerv12n21_151.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
