Wireless Sensor Network based Accident Avoidance Architecture for the Fleet of Long Route vehicles

Dubey, Jyoti R.; Bhavsar, Ankit; Arolkar, Harshal

doi:10.4108/eai.28-12-2017.153521

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…This can be alleviated by the use of several network signals. Using multiple signals also helps to reduce interference and increase communication efficiency in the network [24]. Current WSN hardware, like MICAz and Telos, that use the radio CC2420, provide multi-signal systems (16 signals with 5 MHz of intermediate frequency spacing).…”

Section: Figure 1 Network Architecturementioning

confidence: 99%

An Integrated Signal Allocation Model with Effective Collision Resolution Model for Performance Enhancement of Wireless Sensor Networks

Lalitha¹,

Reddy²

2021

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A Wireless Sensor Network (WSN) differs from conventional wireless or wired networks in that it interacts with the environment. Orthogonal Frequency Division Multiplexing (OFDM) was investigated as a possible interface technology for making effective use of bandwidth. Such networks have been proposed for a variety of purposes such as search and rescue, disaster assistance, and smart positioning systems. These applications often require a large number of wireless sensors that are powered by batteries and are designed for long-term, human-free deployment. Collisions between network nodes can significantly degrade performance in WSNs. Although increased bandwidth facilitates wireless access to high data frequencies, it is prohibitively expensive to increase due to spectrum limits. This necessitates making good use of the available bandwidth. OFDM has been considered as a possible interface mechanism for efficiently utilising bandwidth. While many signals available in WSN technology can be employed to mitigate collisions, multi-signal allocations may have a significant impact on the efficiency of multistage communications. Real-time multimedia flow raises the chance of sensor network failures and congestion, which reduces the efficiency of Quality of Service (QoS). The main goal of the Signal Allocation Scheme is to allocate an appropriate number of signals to any node in order to use professional bandwidth and assure QoS. Load balancing is intended to measure and prevent collisions caused by the number of available slots in the frame. Preparation is another important component in preventing collisions because it decreases delay and optimises energy utilisation. In this paper, an Integrated Signal Allocation Model with Effective Collision Resolution Model (ICAM-ECR) is used to deploy non-overlapping signals dynamically for varying application loads based on expected bandwidth estimation. The suggested model is compared to standard methods, and the findings reveal that the proposed model outperforms existing models.

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Section: Figure 1 Network Architecturementioning

confidence: 99%

An Integrated Signal Allocation Model with Effective Collision Resolution Model for Performance Enhancement of Wireless Sensor Networks

Lalitha¹,

Reddy²

2021

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“…Like different technologies, enhancements in wireless sensor networks were truly encouraged by military applications and manufacturing companies (such as for instance, tracking enemies, robot control, vehicle tracking and so on) [1,2,3,4]. Nowadays, wireless sensor networks are utilized as a part of an others fields like human services checking, water quality observing, air contamination observing, thus many other fields [5,6,7].…”

Section: Introductionmentioning

confidence: 99%

“…AG (slot_ no (x) = = slot _no (y) ∧ sending (i) ∧ sending (y)) ==> AF (¬active (x) ˅ ¬active (y))(4) …”

mentioning

confidence: 99%

A Step towards the Efficiency of Collisions in the Wireless Sensor Networks

K¹,

Laghari

2018

ICST Transactions on Scalable Information Systems

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Wireless Sensor Networks (WSNs) have an ideal tactic for implementing the number of applications due to evading complex wirings connections and their maintenance. On the other hand, the main source of data communication in other networks is protocols. The Medium Access control Protocol defines when a wireless sensor (WS) transmits its recognizer data. However, MAC protocols suffer from collisions that ultimately affect the performance of WSNs. Consequently, care must be taken for improving the efficiency of medium access protocol. This paper presents a model of the Lightweight medium access protocol (LMAC) protocol, which is energy efficient protocol suitable to analyze the probability of collisions for SN (Sensor Nodes) when the data is transmitted at the same time. This paper we consider connected topologies that consist of 5 nodes. For analysis, we have used UMC PRO 0.2 (UPPAAL Model Checker Probabilistic) and results show that the chances of collisions decreases if the weight of nodes before they transmit data is increased. After that, we also compare the results of five nodes with their time slot 5, 6, and 7 depend on the chances of the collisions and suggest an optimistic choice of efficiency and also decrease the cost of networks a network setup that improves the performance and reduces the cost of the network.

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WSN-Based Driver Cabinet Monitoring System for the Fleet of Long-Route Vehicles

Dubey

Bhavsar

2020

Lecture Notes on Data Engineering and Communications Technologies

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Wireless Sensor Network based Accident Avoidance Architecture for the Fleet of Long Route vehicles

Cited by 3 publications

References 3 publications

An Integrated Signal Allocation Model with Effective Collision Resolution Model for Performance Enhancement of Wireless Sensor Networks

An Integrated Signal Allocation Model with Effective Collision Resolution Model for Performance Enhancement of Wireless Sensor Networks

A Step towards the Efficiency of Collisions in the Wireless Sensor Networks

WSN-Based Driver Cabinet Monitoring System for the Fleet of Long-Route Vehicles

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