A Network Structure for Delay-Aware Applications in Wireless Sensor Networks

2017 ◽  
pp. 153-172
Author(s):  
Chi-Tsun Cheng ◽  
Chi K. Tse ◽  
Francis C. M. Lau
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Structure ◽  
Wireless Sensor

scholarly journals Network Structure-Aware Ant-Based Routing in Large-Scale Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Kyungdoh Kim ◽  
Chunghun Ha ◽  
Changsoo Ok
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Network Structure ◽  
Large Scale ◽  
Routing Algorithm ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
Node Degree ◽  
Ant System

Routing algorithms for large-scale sensor networks should be capable of finding energy efficient paths to prolong the lifetime of the networks in a decentralized manner. With this respect, Ant System has several proper characteristics for routing algorithm in large-scale wireless sensor networks. First, its distributed mechanism enables routing algorithm to find a solution with only local information and be robust for uncertainties in wireless sensor networks. Second, the framework of the Ant System is proper to solve dynamic problems such as routing problem. Transition probability in Ant System can be used to estimate how good a given routing path is. Capturing these features, this work proposes two Ant Systems based routing algorithms, which are AS-RWSNs (Ant System for Routing in Wireless Sensor Networks) and SAAS-RWSN (Structure-Aware AS-RWSN). The AS-RWSN applies the original Ant System to routing algorithm for wireless sensor network and SAAS-RSN upgrades AS-RWSN with considering properties of network structure such as degree of node. In SAAS-RSN, sensors with high node degree have high data traffic since they have more routing paths. Consequently, SAAS-RSN achieves an energy balance over sensor network through this routing scheme. We demonstrate the effectiveness of the proposed algorithms by comparing three existing routing algorithms.

scholarly journals Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks

2020 ◽  
Vol 16 (9) ◽  
pp. 155014772095830
Author(s):  
Imran Ullah Khan ◽  
Mazhar Islam ◽  
Muhammad Ismail ◽  
Abdul Baseer Qazi ◽  
Sadeeq Jan ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Structure ◽  
Routing Protocol ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Underwater Wireless Sensor Networks ◽  
Base Angle ◽  
End To End Delay ◽  
End To End

In the recent past, a significant increase has been observed in the use of underwater wireless sensor networks for aquatic applications. However, underwater wireless sensor networks face several challenges including large propagation delays, high mobility, limited bandwidth, three-dimensional deployments, expensive manufacturing, and energy constraints. It is crucial for underwater wireless sensor networks to mitigate all these limitations primarily caused by the harsh underwater environment. To address some of the pertinent challenges, adaptive hop-by-hop cone vector-based forwarding routing protocol is proposed in this article which is based on the adaptive hop-by-hop vector-based forwarding. The novelty of adaptive hop-by-hop cone vector-based forwarding includes increasing the transmission reliability in sparse sensor regions by changing the base angle of the cone according to the network structure. The number of duplicate packets and end-to-end delay is also reduced because of the reduced base angle and a smart selection criterion for the potential forwarder node. The proposed routing protocol adaptively tunes the height and opening of the cone based on the network structure to effectively improve the performance of the network. Conclusively, this approach significantly reduces energy tax, end-to-end delay, and packet delivery ratio.

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