Collaborative Allocation and Optimization of Path Planning for Static and Mobile Sensors in Hybrid Sensor Networks for Environment Monitoring and Anomaly Search

Guo, Yanjie; Xu, Zhaoyi; Saleh, Joseph H.

doi:10.3390/s21237867

Cited by 5 publications

(3 citation statements)

References 46 publications

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“…To further improve the operation of environmental monitoring and anomaly search in W.S.N.s, a collaborative approach was presented in [26]. The proposed method is composed mostly of two components.…”

Section: Mobility Modelsmentioning

confidence: 99%

Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs

2023

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Wireless sensor networks (W.S.N.s) are a critical research area with numerous practical applications. W.S.N.s are utilized in real-life scenarios, including environmental monitoring, healthcare, industrial automation, smart homes, and agriculture. As W.S.N.s advance and become more sophisticated, they offer limitless opportunities for innovative solutions in various fields. However, due to their unattended nature, it is essential to develop strategies to improve their performance without draining the battery power of the sensor nodes, which is their most valuable resource. This paper proposes a novel sink mobility model based on constructing a bipartite graph from a deployed wireless sensor network. The proposed model uses bipartite graph properties to derive a controlled mobility model for the mobile sink. As a result, stationary nodes will be visited and planned to reduce routing overhead and enhance the network’s performance. Using the bipartite graph’s properties, the mobile sink node can visit stationary sensor nodes in an optimal way to collect data and transmit it to the base station. We evaluated the proposed approach through simulations using the NS-2 simulator to investigate the performance of wireless sensor networks when adopting this mobility model. Our results show that using the proposed approach can significantly enhance the performance of wireless sensor networks while conserving the energy of the sensor nodes.

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Section: Mobility Modelsmentioning

confidence: 99%

Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs

2023

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“…A cooperative strategy was described in [12] to enhance the task of environmental monitoring and discrepancy search in WSNs. The proposed approach primarily consists of two parts.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study

Abu Taleb,

Abu Al-Haija,

Odeh

2023

Int. J. Interact. Mob. Technol.

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Wireless sensor networks (WSNs), deployed in the area of interest to gather data unattended, comprise numerous tiny, ponderous, and battery-operated sensor nodes (SNs). Numerous research publications presented strategies for extending the lifespan and performance of wireless sensor networks because SNs lifetime depends on limited battery life. One strategy for enhancing the performance of wireless sensor networks is to deploy an energy-rich sink capable of mobility to gather data sensed by stationary SNs. Therefore, several mobility models (MMs) were suggested. The primary objective of this investigation is to compare the effectiveness of wireless sensor networks using two MMs for mobile sinks (MSs): Kohonen’s self-organizing map-based model and the genetic algorithm-based model, in order to find the most suitable conditions under which each one of them can be used. As a result, network performance is investigated using the NS-2 simulator under various scenarios and MS speeds. Additionally, throughput, packet delivery ratio (PDR), and end-to-end (E2E) delay are the metrics used to analyze performance. Finally, messages are forwarded from their sources to the MS using the AODV routing protocol. The results show that the Kohonen-based model is suitable for small networks with moderate speeds of the mobile sink. On the other hand, the genetic algorithm-based model is suitable to be used with medium-sized networks with low speeds of the mobile sink.

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“…Furthermore, a collaborative method was proposed in [19] to optimize environmental monitoring and anomaly search tasks in WSNs. The proposed scheme is composed mainly of two components.…”

Section: Mobility Modelsmentioning

confidence: 99%

Using Minimum Connected Dominating Set for Mobile sink path planning in Wireless Sensor Networks

Taleb

2023

Int. j. commun. netw. inf. secur.

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Wireless sensor networks are a motivating area of research and have a variety of applications. Given that these networks are anticipated to function without supervision for extended periods, there is a need to propose techniques to enhance the performance of these networks without consuming the essential resource sensor nodes have, which is their battery energy. In this paper, we propose a new sink node mobility model based on calculating the minimum connected dominating set of a network. As a result, instead of visiting all of the static sensor nodes in the network, the mobile sink will visit a small number or fraction of static sensor nodes to gather data and report it to the base station. The proposed model's performance was examined through simulation using the NS-2 simulator with various network sizes and mobile sink speeds. Finally, the proposed model's performance was evaluated using a variety of performance metrics, including End-To-End delay, packet delivery ratio, throughput, and overall energy consumption as a percentage.

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Collaborative Allocation and Optimization of Path Planning for Static and Mobile Sensors in Hybrid Sensor Networks for Environment Monitoring and Anomaly Search

Cited by 5 publications

References 46 publications

Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs

Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs

Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study

Using Minimum Connected Dominating Set for Mobile sink path planning in Wireless Sensor Networks

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