Directed Diffusion Modelling for Tesso Nilo National Parks Case Study
Creators
- 1. Electrical Engineering Department - Universitas Riau Kampus Bina Widya, Jl. HR Subrantas KM 12.5, Pekanbaru 28293 (Indonesia)
Description
— Directed Diffusion (DD has ability to achieve energy efficiency in Wireless Sensor Network (WSN). This paper proposes Directed Diffusion (DD) modelling for Tesso Nilo National Parks (TNNP) case study. There are 4 stages of scenarios involved in this modelling. It's started by appointing of sampling area through GPS coordinate. The sampling area is determined by optimization processes from 500m x 500m up to 1000m x 1000m with 100m increment in between. The next stage is sensor node placement. Sensor node is distributed in sampling area with three different quantities i.e. 20 nodes, 30 nodes and 40 nodes. One of those quantities is choose as an optimized sensor node placement. The third stage is to implement all scenarios in stages 1 and stages 2 on DD modelling. In the last stage, the evaluation process to achieve most energy efficient in the combination of optimized sampling area and optimized sensor node placement on Direct Diffusion (DD) routing protocol. The result shows combination between sampling area 500m x 500m and 20 nodes able to achieve energy efficient to support a forest preventive fire system at Tesso Nilo National Parks. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/300/1/012039Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 300
- Journal Issue
- 1
- Journal Page Range
- [7 p.]
- ISSN
- 1757-899X
Conference
- Title
- 4. International Conference on Operational Research (InteriOR)
- Dates
- 21-23 Aug 2017
- Place
- Medan (Indonesia)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52072435
- Subject category
- S32: ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COMPUTERIZED SIMULATION; ENERGY EFFICIENCY; FORESTS; GLOBAL POSITIONING SYSTEM; OPTIMIZATION; RECREATIONAL AREAS; ROUTING; SAMPLING; SENSORS
- Descriptors DEC
- EFFICIENCY; SIMULATION