Automatic house location identification using location service based VANET

Author:

Ranjan Senapati Biswa1ORCID,Ranjan Swain Rakesh1ORCID,Mohan Khilar Pabitra2,Kumar Bhoi Sourav3ORCID,Sagar Sahoo Kshira4ORCID

Affiliation:

1. Department of Computer Science and Engineering ITER, Siksha ‘O’ Anusandhan Deemed to be University Bhubaneswar India

2. Department of Computer Science and Engineering National Institute of Technology Rourkela India

3. Department of Computer Science and Engineering Parala Maharaja Engineering College Berhampur India

4. Department of Computing Science Umeå University Umeå Sweden

Abstract

SummaryThe vehicular ad hoc network (VANET) provides a variety of applications and is gaining popularity due to the reuse of network resources. Exact location identification with optimum delay is the demand of all vehicle users. Currently, individuals are utilizing the Global Positioning System (GPS) to ascertain the precise geographical coordinates of a given location. The drawback of GPS technology is its inability to accurately determine location and use GPS in some remote areas. Searching for the location of a particular house randomly incurs a loss of fuel as well as increases delay. This motivates us to propose one automated method through VANET using location service‐based routing for the location identification of a house. The proposed work involves searching for the location of a house using the open‐source MongoDB database, and the operations on the database are performed using the tool Node‐Red. By simulation using SUMO and Network Simulator 2.35, the proposed work is evaluated and compared with existing location service‐based routing like geographic location service (GLS) and hierarchical location service (HLS). The proposed work performs better in terms of routing efficiency (end‐to‐end latency, packet delivery rate), location efficiency (request sends, query success rate, and request travel time), and routing and location overhead (MAC bandwidth consumption). Also, the performance of the proposed work is presented as stable by increasing the number of vehicles. The statistical analysis of the packet delivery ratio and CBR end‐to‐end latency is carried out using T score.

Publisher

Wiley

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