Agent-based system simulation of wireless battlefield networks

Regragui, Younes; Moussa, Najem

doi:10.1016/j.compeleceng.2016.07.007

Cited by 13 publications

(8 citation statements)

References 25 publications

(37 reference statements)

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“…It illustrates how autonomous agents are able to make interaction based on a superposition of these simple rules to define different behaviors with each other, where agents carry out their tasks collectively in order to contribute to a common goal (e.g., destination or location of enemy). Accordingly, each agent is able to make interaction with other agents in its neighborhood based on three basic rules [13]- [15].…”

Section: A Mobility Of Agentsmentioning

confidence: 99%

Simulation of wireless sensors in collective motion

Regragui¹,

Moussa²

2018

2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM)

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Wireless sensor networks (WSN) are considered to be a promising concept for enabling numerous categories of applications for both civil and military applications. This can include dismounted soldiers teams, group of animals or a group of mobile robots, where agents are moving collectively and sharing the same goal (e.g., destination, source of food or location of enemy). In this paper, we investigate the impact of dynamic agents based on a flock mobility model on the efficiency of wireless communications. We consider N mobile sensor agents capable of sensing and sending data packets periodically towards a base station (leader agent) directly or via intermediate nodes (relay nodes). At each time period, a sensor node can verify if an event is sensed based on a probability approach and then generates a data packet that is to be sent towards the destination, or else a sensor node can act as a relay node to forward data packets from other nodes. We evaluate the performance of the sensor nodes network under varying levels of perturbation of the collective motion of agents. The performance metrics observed are the residual energy, the number of sensors nodes still alive, the average normalized velocity, the packet delivery ratio, the end-to-end delay, and the average number of hops. Simulation results confirm that the dynamic agents have a significant impact on both the sensor network lifetime and the reachability of communications.

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Section: A Mobility Of Agentsmentioning

confidence: 99%

Simulation of wireless sensors in collective motion

Regragui¹,

Moussa²

2018

2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM)

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“…A group mobility model for battlefield to simulate behaviors of realistic soldiers and leader in the battlefield is presented in [1]. The demand of autonomous sensors in battlefield is increased therefore this leads to the demand of localized and independ-ent energy harvesting capabilities for sensor nodes which are summarized in [7].…”

Section: Related Workmentioning

confidence: 99%

“…In recent years, army has started to take interest to use advance technologies for handling tactical tasks in a battlefield [1][2]. In a battlefield, the environment may change rapidly but the soldiers need to be connected continuously to share information with each other and to take action collectively.…”

Section: Introductionmentioning

confidence: 99%

Algorithm and Formal Model of Recovering Network Connectivity in Battlefield Surveillance

Zafar¹,

Afzaal²

2018

EAI Endorsed Transactions on Internet of Things

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Battlefield surveillance requires mission-critical operations and tasks which can effectively be performed using Wireless Sensor and Actor Networks (WSANs). We have used clustering approach for deployment of WSAN to minimize energy consumption and to limit the processing cost. The adverse environment conditions in battlefield may cause a loss of connectivity but there is a need of continuous flow of information in this application. Therefore an algorithm for network recovering is proposed. Firstly, graphical model of the system is presented using graph theory which is then transformed into a formal model by developing formal specification using Vienna Development Method-Specification Language (VDM-SL). Invariants and pre/post-conditions are defined for its validation. The correctness of the formal specification is assured by an analysis through VDM-SL toolbox.

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“…The network connectivity is worsened due to topology changes driven by wireless links and unpredictable mobility of soldiers. Thus, it is natural that the highly dynamic in nature of dismounted soldiers' mobility on the battlefield has a significant impact on the network topology, eventually resulting in high rate of link failures [4]- [6]. Therefore, the evaluation of the network performance during the execution of a tactical military scenario for such situations in the real world setting is in many cases not feasible since the cost can be too high and it is impossible to test in real world.…”

Section: Introductionmentioning

confidence: 99%

Dynamics of network connectivity in tactical MANETs

Regragui

Moussa

2018

2018 International Conference on Advanced Communication Technologies and Networking (CommNet)

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In the future battlefields, communication between commanders and soldiers will be a decisive factor to complete an assigned mission. In such military tactical scenarios, network topology is constrained by the dynamics of dismounted soldiers in the battlefield. In the battlefield area, soldiers may be divided into a number of squads and fire teams with each one having its own mission, especially in some critical situation (e.g., a military response to an enemy attack or a sweep operation of houses). This situation may cause an unpredictable behavior in terms of wireless network topology state, thus increasing the susceptibility of network topology to decomposition in multiple components. This paper presents a Group Mobility Model simulating realistic battlefield behaviors and movement techniques. We also analyze wireless communication between dismounted soldiers and their squad leader deployed in a mobile ad hoc network (MANET) under different packet sending rate and perturbation factor modeled as a standard deviation parameter which may affect soldiers' mobility. A discussion of results follows, using several performance metrics according to network behavior (such as throughput, relaying rate of unrelated packets and path length).

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Agent-based system simulation of wireless battlefield networks

Cited by 13 publications

References 25 publications

Simulation of wireless sensors in collective motion

Simulation of wireless sensors in collective motion

Algorithm and Formal Model of Recovering Network Connectivity in Battlefield Surveillance

Dynamics of network connectivity in tactical MANETs

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