Energy Efficient, Delay Sensitive, Fault Tolerant Wireless Sensor Network for Military Monitoring

Bekmezci, İlker; Alagöz, Fatíh

doi:10.1080/15501320902768625

Cited by 53 publications

(33 citation statements)

References 19 publications

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“…Network Centric Warfare (NCW) [2] incorporates the idea of networking sensors, commanders and attackers to reduce the operational gap, increase protection, precision and speed of reaction to conduct effective operations. NCW is explored by many military forces across the world to facilitate mobility, increase Intelligence, Surveillance and Reconnaissance capabilities in a flexible and autonomous battlefield where commanders can see, decide and shoot in real time due to pre-awareness of situation.…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient and Secure Clustering Protocol for Military based WSN

Ahlawat¹

2017

IJCNIS

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Abstract-Less contiguous nature of military applications demands for surveillance of widespread areas that are indeed harder to monitor. Unlike traditional Wireless Sensor Networks (WSNs), a military based large size sensor network possesses unique requirements/challenges in terms of self-configuration, coverage, connectivity and energy dissipation. Taking this aspect into consideration, this paper proposes a novel, efficient and secure clustering method for military based applications. In any clustering based approach, one of the prime concerns is appropriate selection of Cluster Heads and formation of balanced clusters. This paper proposes and analyzes two schemes, Average Energy based Clustering (AEC) and Threshold Energy based Clustering (TEC). In AEC, a node is elected as Cluster Head (CH) if its residual energy is above the average energy of its cluster whereas in case of TEC, a node is elected as Cluster Head if its residual energy is above the threshold energy. Further, both AEC and TEC choose nodes as CHs if their distance lies within safety zone of the Base Station. In this paper, aim is to come up with a solution that not only conserves energy but balance load while electing safe nodes as CHs. The performance of proposed protocols was critically evaluated in terms of network lifetime, average residual energy of nodes and uniformity in energy dissipation of nodes. Results clearly demonstrated that AEC is successful in incorporating security whilst increasing overall lifetime of network, load balance and uniform energy dissipation.

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Section: Introductionmentioning

confidence: 99%

An Energy Efficient and Secure Clustering Protocol for Military based WSN

Ahlawat¹

2017

IJCNIS

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“…WSNs can be used in a variety of daily life such as medical healthcare [5]. Sensor nodes are designed to be easy to carry on human bodies (such as a watch) so that the healthcare professionals can gather data for further analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, we discuss the benefits and defects of each protocol with some metrics (data latency, stability and power consumption). Other surveys on the mobile sink routing in WSNs exists in the literature [3][4][5]8]. Our survey focus on energy efficient strategies with mobile sink in WSNs, we aim to introduce a more detailed research on this project.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Strategies with Mobile Sink for WSNs: A Survey

Ruan¹,

Fan²,

Gong³

et al. 2016

IJFGCN

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“…Recently, wireless sensor networks (WSNs) have been used in many applications, such as military target tracking and surveillance [1], meteorological hazards [2], wildlife monitoring [3], natural disaster relief [4], and healthcare [5]. A WSN consists of a sink node, also called a base station, and a group of sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Skyline-Based Aggregator Node Selection in Wireless Sensor Networks

Nasridinov

Ihm

2013

International Journal of Distributed Sensor Networks

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In order to achieve the equal usage of limited resources in the wireless sensor networks (WSNs), we must aggregate the sensor data before passing it to the base station. In WSNs, the aggregator nodes perform a data aggregation process. Careful selection of the aggregator nodes in the data aggregation process results in reducing large amounts of communication traffic in the WSNs. However, network conditions change frequently due to sharing of resources, computation load, and congestion on network nodes and links, which makes the selection of the aggregator nodes difficult. In this paper, we study an aggregator node selection method in the WSNs. We formulate the selection process as a top-k query problem, where we efficiently solve the problem by using a modified Sort-Filter-Skyline (SFS) algorithm. The main idea of our approach is to immediately perform a skyline query on the sensor nodes in the WSNs, which enables to extract a set of sensor nodes that are potential candidates to become an aggregator node. The experiments show that our method is several times faster compared to the existing approaches.

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Energy Efficient, Delay Sensitive, Fault Tolerant Wireless Sensor Network for Military Monitoring

Cited by 53 publications

References 19 publications

An Energy Efficient and Secure Clustering Protocol for Military based WSN

An Energy Efficient and Secure Clustering Protocol for Military based WSN

Energy Efficient Strategies with Mobile Sink for WSNs: A Survey

Skyline-Based Aggregator Node Selection in Wireless Sensor Networks

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