Abstract
Vehicular Ad-hoc Network (VANET) is an essential part of futuristic Intelligent Transportation Systems. VANET can improve the overall traffic control system and reduce road accident deaths by providing remote health monitoring in hazardous conditions to outdoor patients. Nowadays, vehicles have become so intelligent that they can sense patient health data and transmit it to a nearby ambulance or hospital in emergency or road accident situations. Health professionals can provide appropriate treatment without wasting critical time in further testing. Developing an efficient and reliable routing solution is a significant research problem for VANET based health monitoring applications because of time-sensitives. Routing approaches to reduce the transmission delay for critical applications are based on topological, geographical, clustering, and flooding techniques. This article has evaluated and compared widely used topological and geographical routing protocols for data-based VANETs health monitoring applications. A comprehensive analysis is performed on Ad hoc On-Demand Distance Vector (AODV), Destination-Sequenced Distance-Vector (DSDV), Optimized Link State Routing (OLSR), Greedy Perimeter Stateless Routing (GPSR), Greedy Perimeter Stateless Routing-Modified (GPSR-M), and Max duration-Minangle Greedy Perimeter Stateless Routing (MM-GPSR) protocols with different numbers of nodes, CBR connections, communication range and packet size on Network Simulator (NS-3.23) and Simulation of Urban Mobility (SUMO) platforms. Experimental results give useful knowledge in analyzing routing protocols for VANET's data-based smart health monitoring applications.
Highlights
Intelligent Transportation System (ITS) is the need of the hour for current road networks as casualties caused by road accidents have increased exponentially (Siddiqua et al, 2019)
Packet Delivery Ratio (PDR) is defined by the "ratio of packets received at the destination vehicles to packets transmitted by all the source vehicles"
Ad hoc On-Demand Distance Vector (AODV) provides the highest up to 97% PDR, whereas Destination-Sequenced Distance-Vector (DSDV) provides the lowest up to 13% PDR with the highest node density. This is because DSDV sends a periodic control message to the routers, which consume more bandwidth that causes a decrement of packet delivery ratio
Summary
Intelligent Transportation System (ITS) is the need of the hour for current road networks as casualties caused by road accidents have increased exponentially (Siddiqua et al, 2019). Millions of people die per year due to chronic diseases like heart failure, cancer, and diabetics This disease requires continuous monitoring of vital signs regularly (Girčys et al, 2020). AU is a unique device that processes the health monitoring, safety, or infotainment applications received from OBU through RSU (Moustafa & Zhang, 2009). VANET can provide a wide range of safety, comfort, and commercial-related applications to the driver and fellow passengers during traveling. Comfort and commercial-related applications provide cloud-based services like highway toll collection, parking space alerts, traffic congestion announcements, local eateries, retail malls, movie theatre notifications, and offering a hotspot for watching films and playing video games while traveling (Fornaia et al, 2017).
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