Published January 1, 2018 | Version v1
Journal article

Directed Diffusion Modelling for Tesso Nilo National Parks Case Study

  • 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/300/1/012039

Additional details

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