Modeling human mobility in obstacle-constrained ad hoc networks

Abstract. Wireless Information-Theoretic Security (WITS) has been suggested as a robust security scheme, especially for infrastructure-less networks. Based on the physical layer, WITS considers quasi-static Rayleigh fading instead of the classic Gaussian wiretap scenario. In this paper, they key parameters of WITS are investigated by implementing an 802.11n ad-hoc network in an outdoor obstacle-dense topology. Measurements performed throughout the topology allow for a realistic evaluation of a scenario with multiple moving eavesdroppers. Low speed user movement has been considered, so that Doppler spread can be discarded. A set of discrete field test trials have been conducted, based on simulation of human mobility throughout an obstacle-constrained environment. Average Signal-to-Noise Ratio (SNR) values have been measured for all moving nodes, and the Probability of Non-Zero Secrecy Capacity has been calculated for different eavesdropping cooperative schemes (Selection Combining and Maximal-Ratio Combining). In addition, the Outage Probability has been estimated with regard to a nonzero target Secrecy Rate for both techniques. The results have been compared with the respective values of WITS key parameters derived from theoretical analysis.

show abstract

“…This is repeated until an unobstructed direct line until the current destination is reached. This procedure is illustrated in Figure 1 [26]. …”

Section: Mobility Modelsmentioning

confidence: 99%

Wireless Information-Theoretic Security: Theoretical analysis & experimental measurements with multiple eavesdroppers in an outdoor obstacle-dense MANET

Chrysikos

Birkos

Dagiuklas

et al. 2017

Physical Communication

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the Mission Critical Mobility Model (MCM) [2], nodes move around obstacles in a way similar to how humans do. The MCM model offers two activity modes: the emergency workers and the medical staff.…”

Section: Related Workmentioning

confidence: 99%

“…We assume that clients need just one provider. A number of obstacles were distributed over the area, based on a graphical user interface provide by MCM mobility model [2]. Aiming at evaluating the impact of ∆RRP aggregation message approach, Fig.…”

Section: B Discovery Phase Evaluationmentioning

confidence: 99%

“…We consider two mobility models: Mission Critical Mobility Model (MCM) [2] and Gauss-Markov Mobility Model [1] (see Section II). For the MCM, we applied both the emergency workers and the medical staff activity modes.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Hence, in order to confirm the gain in performance of ∆RRP , we conducted an extensive set of comparative experiments on top of the simulator NS-2. Contrarily to [9] whose simulations consider only GaussMarkov mobility model [1], we used in our simulations the latter but specially the Mission Critical Mobility Model (MCM) [2], a mobility human model for obstacle-constrained ad hoc networks, tailored for disaster scenarios. By applying different metrics, we compare and discuss the performance of ∆RRP with RRP as well with flooding and gossip protocols.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Saving Resources in Discovery Protocol on Delay-Sensitive Rescue Mobile Networks

Kniess

Arantes

Sens

et al. 2017

2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA)

View full text Add to dashboard Cite

Abstract-The search for service providers (e.g., ambulance, fire truck, etc.) after a disaster, must take place within a short time. Therefore, service discovery protocol which looks for providers that can attend victims, respecting time constraints, is crucial. In such a situation, a commonly solution for ensuring network connectivity between victims and providers is ad hoc networks (MANET), composed by battery-operated mobile nodes of persons (victims or not). However, an efficient service discovery protocol must care about energy consumption of mobile nodes and also prevent useless movement of providers. These are the aims of the Resource Reservation Protocol (∆RRP ), presented in this paper. Applying both Gauss-Markov [1] and Mission Critical Mobility [2] models to characterize human mobility, performance evaluation results on the Network Simulator NS-2 confirm the effectiveness of ∆RRP protocol when compared to other protocols.

show abstract

Establishing an emergency communication network and optimal path using multiple autonomous rover robots

Sakthitharan¹,

Jayashri²

2018

Concurrency and Computation

View full text Add to dashboard Cite

Summary The natural calamity or disaster may destroy all communication networks especially a cellular network that relies on a tower. Although many solutions to an ad hoc wireless network have been proposed, forming a network covering a respective region with mobile robots toward optimal coverage remains to be an open problem. In this paper, we take the initiative to handle the optimal network coverage and path selection in disaster region with the help of multiple movable/rover robots. This paper consists of load balance distribution algorithm and optimal coverage algorithm applied to find the next optimally possible node location for all robots. Next, the robots maneuvering in an unknown disaster environment to identify the optimal path between the source and destination by using a particle swarm optimization algorithm. Finally, simulated results show that the algorithms can significantly improve the network coverage in the entire region, and the optimal path can effectively identify the optimal solution for all rover robots.

show abstract

Modeling human mobility in obstacle-constrained ad hoc networks

Cited by 22 publications

References 22 publications

Wireless Information-Theoretic Security: Theoretical analysis & experimental measurements with multiple eavesdroppers in an outdoor obstacle-dense MANET

Wireless Information-Theoretic Security: Theoretical analysis & experimental measurements with multiple eavesdroppers in an outdoor obstacle-dense MANET

Saving Resources in Discovery Protocol on Delay-Sensitive Rescue Mobile Networks

Establishing an emergency communication network and optimal path using multiple autonomous rover robots

Contact Info

Product

Resources

About