Modelling Mobility Based on Obstacle-Aware Human Behaviour in Disaster Areas

Abstract

Mobility models are used to mimic the realistic movement of entities. Mobility models for wireless networks feature different objectives and characteristics, most based on random behaviour. However, random based mobility models, such as the random waypoint, are often not suitable to represent the reality of node mobility, particularly in disaster areas where the search time for victims is a critical factor. This work studies the main existent mobility models able to suit disaster environments, according to specifically identified requirements. Moreover, a formal specification of the human behaviour for disaster areas (HBDA) mobility model is presented and an obstacle avoidance mechanism is introduced. Obstacle-aware HBDA is evaluated and compared with two existent mobility models, regarding its movement and network performances in different types of scenarios with variable network size and obstacle density. Obtained results show that obstacle-aware HBDA provides an even distribution of nodes, a efficient area coverage and a good transmission rate.

DRT mobility model for search and rescue operations based on catastrophic intensity to improve the quality of services

“…However, the model does not consider the impact of environmental factors on node mobility. [26] proposed a mobility model based on obstacle-aware human behavior in DAs known as human behavior for disaster areas (HBDA). The model considers the impact of obstacles on node mobility and the behavior of nodes in disaster scenarios.…”

Performance Studies of FTP, Voice and Video over ATM-Wireless Backbone Network

“…The jitter for voice packet is the delay variation over time across the network. These metrics are appropriate for the performance study of ATM-Wireless backbone network as supported by leading network researchers (Conceição & Curado, 2015;McNickle, Pawlikowski, & Ewing, 1996;Pawlikowski, Jeong, & Lee, 2002;Sirisena;Skogen, Eknes, Asplin, & Sandvik, 2009). Table 2 lists seven experiments/study and the corresponding scenarios investigated.…”