Impact of Optimal Hop Distance on the Network Lifetime for Wireless Sensor Networks With QoS Requirements

Ding, Zhaoming; Xing, Song; Yan, Feng; Shen, Lianfeng

doi:10.1109/lcomm.2019.2895311

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…14,15 Parts of them mentioned earlier were probably contradictory, leading to a soft QoS routing planning, to meet the specific service requirements at a probability level. 16,17 Recent studies on the soft QoS were mainly based on multipath planning strategies. 15,[18][19][20][21][22] MN Bouatit et al 19 presented a geographic multipath routing protocol (GMRP), based on control message between nodes, to achieve an optimal routing for multipath transmission, shortest path node-disjoint and bypass holes.…”

Section: Related Workmentioning

confidence: 99%

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A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

Zhang

2020

International Journal of Distributed Sensor Networks

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The current quality of system routing available in wireless sensor network mainly provides assurance for traffic flow, with little consideration on full use of network resource, like bandwidth. Aiming at solving these problems, this article proposes a quality of system routing method based on neighborhood interference detection and mitigation. First, the algorithm uses a sink node as root node to establish a minimum spanning tree for the network to obtain the depth of each node. Then, each node dynamically updates its interference degree by contiguous iterations during neighboring nodes communication. Finally, the interference degree, packet level, residual energy, and node depth are combined to establish a multipath route to enhance the network bandwidth and thus improve the quality of system. Experimental results show that the algorithm can not only effectively balance the network load but also reduce the network packet delay and improve the network throughput. It also has a good network lifetime; thus, it can effectively improve the quality of system of wireless sensor network.

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Section: Related Workmentioning

confidence: 99%

“…14,15 Parts of them mentioned earlier were probably contradictory, leading to a soft QoS routing planning, to meet the specific service requirements at a probability level. 16,17…”

Section: Related Workmentioning

confidence: 99%

A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

Zhang

2020

International Journal of Distributed Sensor Networks

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“…In References [10,20,26,27,28,29,30,31], the authors proposed their scheme to enhance network lifetime in WSNs. Reference [24] presents a countermeasure for false data filtering in WSNs.…”

Section: Related Workmentioning

confidence: 99%

“…A key-indexed-based routing method [25] for filtering false event reports in WSNs is proposed. Several works such as References [10,28,29,30,31] used various methods to extend network lifetime. References [32,33,34] proposed to improve network lifetime and energy efficiency.…”

Section: Related Workmentioning

confidence: 99%

“…Recent work [20,24,25,26,27] also highlighted countermeasures against attacks in en-route filtering with an emphasis on network lifetime. Several work focused on network lifetime extension [10,28,29,30,31], energy efficiency and network lifetime [32,33,34], and energy efficiency [35,36,37,38,39] and privacy [40,41,42] using various techniques.…”

Section: Introductionmentioning

confidence: 99%

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AEF: Adaptive En-Route Filtering to Extend Network Lifetime in Wireless Sensor Networks

Shahzad

Islam

Kwak

et al. 2019

Sensors

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Static sink-based wireless sensor networks (WSNs) suffer from an energy-hole problem. This incurs as the rate of energy consumption on sensor nodes around sinks and on critical paths is considerably faster. State-of-the-art en-routing filtering schemes save energy by countering false report injection attacks. In addition to their unique limitations, these schemes generally do not examine energy awareness in underlying routing. Mostly, these security methods are based on a fixed filtering capacity, unable to respond to changes in attack intensity. Therefore, these limitations cause network partition(s), exhibiting adverse effects on network lifetime. Extending network lifetime while preserving energy and security thus becomes an interesting challenge. In this article, we address the aforesaid shortcomings with the proposed adaptive en-route filtering (AEF) scheme. In energy-aware routing, the fitness function, which is used to select forwarding nodes, considers residual energy and other factors as opposed to distance only. In pre-deterministic key distribution, keys are distributed based on the consideration of having paths with a different number of verification nodes. This, consequently, permits us to have multiple paths with different security levels that can be exploited to counter different attack intensities. Taken together, the integration of the special fitness function with the new key distribution approach enables the AEF to adapt the underlying dynamic network conditions. The simulation experiments under different settings show significant improvements in network lifetime.

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QoS provisioning in energy-efficient cooperative networks with power assignment and relay deployment planning

Huang

Hsu

2020

Wireless Netw

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Impact of Optimal Hop Distance on the Network Lifetime for Wireless Sensor Networks With QoS Requirements

Cited by 7 publications

References 8 publications

A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

AEF: Adaptive En-Route Filtering to Extend Network Lifetime in Wireless Sensor Networks

QoS provisioning in energy-efficient cooperative networks with power assignment and relay deployment planning

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