A study on next generations heterogeneous sensor networks

Sankar, Sharmi; Ranganathan, H.; Venkatasubramanian, Suresh

doi:10.1109/ieeegcc.2009.5734243

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…But, heterogeneous MWSN consists of a number of mobile sensor nodes with different abilities in node property such as battery power, memory size, computing power, sensing range, transmission range, and mobility, etc. Also, the nodes deployment of heterogeneous MWSN is more complex than homogeneous MWSN [8,9].…”

Section: Types Of Wsnsmentioning

confidence: 99%

Mobile Wireless Sensor Networks: An Overview

Ramasamy¹

2017

Wireless Sensor Networks - Insights and Innovations

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Mobile wireless sensor networks (MWSNs) have emerged and shifted the focus from the typical static wireless sensor networks to networks with mobile sensor nodes that are capable to sense the various types of events. Also, they can change their position frequently in a specific sensing area. The applications of the MWSNs can be widely divided into time-driven, event-driven, on-demand and tracking based applications. Mobile sensor node architecture, residual energy utilization, mobility, topology, scalability, localization, data collection routing, Quality of Service (QoS), etc., are the key factors to design an energy efficient MWSNs for some specific purpose. This chapter deals with an overview of the MWSNs and a few significant phenomena to design an energy efficient MWSNs to the large-scale environment.

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Section: Types Of Wsnsmentioning

confidence: 99%

Mobile Wireless Sensor Networks: An Overview

Ramasamy¹

2017

Wireless Sensor Networks - Insights and Innovations

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“…However, heterogeneous M-WMSN comprises of mobile sensor nodes with different capabilities such as battery capacity, storage, processing capability, mobility speed, and so on. The process of deploying nodes in heterogeneous type is a challenge when compared to homogeneous M-WMSN [9,10].…”

Section: Introductionmentioning

confidence: 99%

Metaheuristic Clustering Protocol for Healthcare Data Collection in Mobile Wireless Multimedia Sensor Networks

Kadiravan¹,

Sujatha²,

Asvany³

et al. 2021

Computers, Materials &Amp; Continua

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Nowadays, healthcare applications necessitate maximum volume of medical data to be fed to help the physicians, academicians, pathologists, doctors and other healthcare professionals. Advancements in the domain of Wireless Sensor Networks (WSN) and Multimedia Wireless Sensor Networks (MWSN) are tremendous. M-WMSN is an advanced form of conventional Wireless Sensor Networks (WSN) to networks that use multimedia devices. When compared with traditional WSN, the quantity of data transmission in M-WMSN is significantly high due to the presence of multimedia content. Hence, clustering techniques are deployed to achieve low amount of energy utilization. The current research work aims at introducing a new Density Based Clustering (DBC) technique to achieve energy efficiency in WMSN. The DBC technique is mainly employed for data collection in healthcare environment which primarily depends on three input parameters namely remaining energy level, distance, and node centrality. In addition, two static data collector points called Super Cluster Head (SCH) are placed, which collects the data from normal CHs and forwards it to the Base Station (BS) directly. SCH supports multi-hop data transmission that assists in effectively balancing the available energy. A detailed simulation analysis was conducted to showcase the superior performance of DBC technique and the results were examined under diverse aspects. The simulation outcomes concluded that the proposed DBC technique improved the network lifetime to a maximum of 16,500 rounds, which is significantly higher compared to existing methods.

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“…[5,6] WSNs can be classified into homogeneous (identical mobile sensor nodes) and heterogeneous (different abilities in node property). [7,8] The traditional layered approach concerning OSI layered model is not suitable to be used in the mobile wireless sensor nodes design due to the unstable conditions of mobile nodes and wireless links reliability changing. The dynamic environment performance can be improved by considering cross interaction between the layers.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Wireless Sensor Networks Routing Protocols based on Cross Layer Interaction

Jasim¹,

Ismael²,

Solaimanzadeh³

2021

Cihan U Erbil SCI J

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Wireless sensor networks aim to develop a smart city based on sensing environment. The routing protocols of wireless sensor networks is important to transfer the data in smart cities since sensor nodes have limited power and transmission range. The aim of this research is to enhance wireless sensor networks routing protocols based on proposed cross-layer interaction between physical layer and network layer also a proposed routing table information of wireless sensor nodes is developed to consider the transmission power of neighbor’s nodes to determine the next hop. Cross-layer interaction provides a useful information and effective adaptation for WSN routing protocols. As a result, the proposed routing protocol shows an improvement in network performance when number of intermediate nodes are minimized.

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A study on next generations heterogeneous sensor networks

Cited by 4 publications

References 2 publications

Mobile Wireless Sensor Networks: An Overview

Mobile Wireless Sensor Networks: An Overview

Metaheuristic Clustering Protocol for Healthcare Data Collection in Mobile Wireless Multimedia Sensor Networks

Enhancing Wireless Sensor Networks Routing Protocols based on Cross Layer Interaction

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