A new cost-effective approach for battlefield surveillance in wireless sensor networks

Jaigirdar, Fariha Tasmin; Islam, Mohammad Mahfuzul

doi:10.1109/nsyss.2016.7400694

Cited by 18 publications

(6 citation statements)

References 5 publications

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“…Modified Hermite polynomials are obtained by multiplying Hermite polynomials with e −t 2 4 . A n th order Modified Hermite function is,…”

Section: Transmit Waveformsmentioning

confidence: 99%

“…Due to low-cost and ease of deployment, IoT have found its place in numerous civilian and military applications [1,2]. The sensor nodes can be deployed in hostile and harsh sensing environments and their ability to collectively monitor the sensing region, makes them ideal candidates for surveillance applications [3,4]. Depending on the nature of the sensing application, the sensor nodes can either actively interact with the sensing environment or passively monitor the same.…”

Section: Introductionmentioning

confidence: 99%

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Energy efficient target detection through waveform selection for multi-sensor RF sensing based Internet of Things

Bolisetti

Sharma

Patwary

et al. 2017

2017 10th IFIP Wireless and Mobile Networking Conference (WMNC)

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In this paper, we explore multi-sensor Radio Frequency (RF) sensing based Internet of Things (IoT) for surveillance applications. RF sensing techniques are the next generation technologies which offer distinct advantages over traditional means of sensing. Traditionally, Energy detection (ED) has been used for surveillance applications due to its low computational complexity. However, ED is unreliable due to high false detection rates. There is a need to develop surveillance strategies which offer reliable target detection rates. In this paper, we have proposed a multi-sensor RF sensing based target detection architecture for IoT. To perform surveillance within IoT, multiple sensor nodes are required to co-exist while performing the desired tasks. Interfering waveforms from the neighbouring sensor nodes have a significant impact on the target detection reliability of IoT. In this paper, a waveform selection criterion has been proposed to optimise the target detection reliability and power consumption within IoT in the presence of interfering waveforms.

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“…Modified Hermite polynomials are obtained by multiplying Hermite polynomials with e −t 2 4 . A n th order Modified Hermite function is,…”

Section: Transmit Waveformsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy efficient target detection through waveform selection for multi-sensor RF sensing based Internet of Things

Bolisetti

Sharma

Patwary

et al. 2017

2017 10th IFIP Wireless and Mobile Networking Conference (WMNC)

View full text Add to dashboard Cite

show abstract

“…Also, they allow diverse real-time applications such as smart cities and smart homes to be developed [4]. WSN have been in many fields during the past two decades, such as habitat monitoring [5], battlefield target tracking [6], health monitoring [7], gas monitoring [8], and smart homes [9]. The advantages of these networks are combined in a smart home.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent SDN-Based Clustering Approach for Optimizing IoT Power Consumption in Smart Homes

Nazari

Tavassolian

Abbasi

et al. 2022

Wireless Communications and Mobile Computing

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As a novel technology, the Internet of Things (IoT) has many applications in diverse fields, especially in smart homes. IoT includes a variety of communication networks and technologies which facilitate communication between heterogeneous devices. One of the primary challenges of IoT is energy consumption. This paper introduces a new Software Defined Network-based (SDN-based) clustering approach using intelligent algorithms for energy conservation in IoT. The proposed method uses an evolutionary algorithm to identify the required number of clusters and ensures their distribution in the environment. A virtual network is also employed to ensure network coverage and the formation of balanced clusters. Clustering, steady, and routing are the main steps of the proposed method that the clustering step is done in SDN. By expanding the steady phase and leveraging energy-based greedy routing, the network’s lifetime increases. After simulation in MATLAB, the proposed method is tested then the results are compared with other well-known algorithms. The evaluation results indicate that the proposed method has improved in terms of metrics such as energy consumption and network lifetime. The proposed approach improves energy consumption by 31%, 28%, 8% and 21% than FPA, MCFL, BEEG and NodeRanked respectively. The lifetime has been improved by 34% and 71% than BEEG and NodeRanked, respectively, and more than 100% for MCFL and FPA.

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“…The existence of a mobile sink is based on the criticality and confidentiality of data in Wireless Sensor Networks (WSNs) i.e. critical data applications such as volcanic eruptions, forest fires or landslide detection will preferably have a static sink node but for applications involving critical and confidential data such as military, security and surveillance, mobile sink will always be preferred for data acquisition purposes in WSNs [1][2][3][4]. Mobile sink in WSNs can help in improving the network lifetime by ensuring load balancing across the network at the cost of problems like sink localization and high computational power.…”

Section: Introductionmentioning

confidence: 99%

Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing

et al. 2021

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Energy conservation has always been a prominent design goal for hierarchical routing protocols supporting sink mobility. Advertising the current position of mobile sink introduces control packet overhead which ultimately results in an increase in energy consumption and shorter network lifetime. Energy harvesting through ambient sources have enabled the utilization of rechargeable devices for Wireless Sensor Networks to perpetually remain operational. The modifications in the hierarchical structure of wireless sensor networks along with energy scavenging approaches could possibly minimize the control packet overhead and also provide a significant improvement in energy conservation. In this paper, we propose a novel Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing protocol which uses a distinguishing approach of hybrid (ring + cluster) topology in which the network architecture is initially supported by the formation of a virtual ring structure and then a two-tier routing topology is used in the virtual ring as an overlay by grouping nodes into clusters. The rate of energy gain from solar harvesting and radio frequency transfer is the criterion for selecting cluster heads. The role of cluster heads is exploited to advertise the mobile sink current position as well as forward the aggregated data towards mobile sink using energy transfer based opportunistic routing. The simulation results reveal that our scheme considerably outperforms the existing benchmarks in terms of control packet overhead, energy conservation, network lifetime, packet delivery ratio and average end-end delay.

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A new cost-effective approach for battlefield surveillance in wireless sensor networks

Cited by 18 publications

References 5 publications

Energy efficient target detection through waveform selection for multi-sensor RF sensing based Internet of Things

Energy efficient target detection through waveform selection for multi-sensor RF sensing based Internet of Things

An Intelligent SDN-Based Clustering Approach for Optimizing IoT Power Consumption in Smart Homes

Harvested Energy Scavenging and Transfer capabilities in Opportunistic Ring Routing

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