An Opportunistic Routing for Mobile Wireless Sensor Networks Based on RSSI

Huo, Guangcheng; Wang, Xiaodong

doi:10.1109/wicom.2008.955

Cited by 14 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The existing approaches are well surveyed in [ 5 ]. Hardware based LQE uses RSS (received signal strength) [ 6 , 7 , 8 ], LQI (link quality indicator) [ 9 , 10 , 11 ] and SNR (signal noise ratio) [ 12 , 13 , 14 ] as indicators while software based LQE exploits metrics such as PRR (packet reception ratio) [ 15 , 16 , 17 ], ETX (expected transmission count) [ 18 , 19 , 20 ] and 4-bit [ 2 ]. Typical work [ 2 , 3 , 18 , 21 ] takes either network layer, link layer or physical layer information as input to get the estimation of link qualities.…”

Section: Related Workmentioning

confidence: 99%

LESS: Link Estimation with Sparse Sampling in Intertidal WSNs

Zhou

Chen

et al. 2018

Sensors

View full text Add to dashboard Cite

Deploying wireless sensor networks (WSN) in the intertidal area is an effective approach for environmental monitoring. To sustain reliable data delivery in such a dynamic environment, a link quality estimation mechanism is crucial. However, our observations in two real WSN systems deployed in the intertidal areas reveal that link update in routing protocols often suffers from energy and bandwidth waste due to the frequent link quality measurement and updates. In this paper, we carefully investigate the network dynamics using real-world sensor network data and find it feasible to achieve accurate estimation of link quality using sparse sampling. We design and implement a compressive-sensing-based link quality estimation protocol, LESS, which incorporates both spatial and temporal characteristics of the system to aid the link update in routing protocols. We evaluate LESS in both real WSN systems and a large-scale simulation, and the results show that LESS can reduce energy and bandwidth consumption by up to 50% while still achieving more than 90% link quality estimation accuracy.

show abstract

Section: Related Workmentioning

confidence: 99%

LESS: Link Estimation with Sparse Sampling in Intertidal WSNs

Zhou

Chen

et al. 2018

Sensors

View full text Add to dashboard Cite

show abstract

“…A dynamic slot scheduling in WSN is proposed by Al-Ghamdi et al, 22 which has different time constraints and is able to provide a dynamic scheduling procedure for all tasks. Huo and Wang 23 present an improved probabilistic routing algorithm based on the received signal strength indication (RSSI), which lowered the switching packages but it is assumed that the coverage of the sink node is able to access all nodes in WSN. Lindgren et al 24 propose a probabilistic routing algorithm, which relies on the successful delivery ratios of different routing paths.…”

Section: Related Workmentioning

confidence: 99%

A wireless paging network with load-balancing equal opportunity routing in high-rise building construction

Yang

Liang

2018

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

The energy consumption of nodes is strictly limited in wireless sensor networks. The traditional direct delivery routing protocol is employed in the paging network of high-rise building construction elevators, which results in the high energy consumption and low successful delivery rate. A load-balancing equal opportunity routing protocol for wireless paging network is proposed in this work. The load-balancing equal opportunity routing protocol is a data transfer technique which maintains the network survivability by selecting the optimal path with both the lower energy consumption and the balanced network load. A load-balancing scheme gives equal opportunities for package transmission. A pager node delivers the packages by selecting a neighbor node with higher energy. The neighbor nodes in the coverage of the source node have an equal opportunity for routing. The sink node in the paging network broadcasts routing messages when moving along the track during the path selecting. The proposed load-balancing equal opportunity routing protocol is implemented and evaluated in a high-rise building construction elevator. The experimental results show that the average energy consumption of nodes is lowered with a balanced network load. It is estimated that successful delivery rate is increased by 55% but with a higher latency, and the network lifetime is prolonged.

show abstract

“…OR-RSSI (Opportunistic Routing-Received Signal Strength Indicator) [23] uses an opportunity probability and is based on Extremely Opportunistic Routing (Ex-OR) [24]. Opportunistic protocols are particularly applicable in MWSNs as they can exploit the transient connections that are created and destroyed by the mobile nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

Proactive Highly Ambulatory Sensor Routing (PHASeR) protocol for mobile wireless sensor networks

Hayes

Ali

2015

Pervasive and Mobile Computing

View full text Add to dashboard Cite

a b s t r a c tThis paper presents a novel multihop routing protocol for mobile wireless sensor networks called PHASeR (Proactive Highly Ambulatory Sensor Routing). The proposed protocol uses a simple hop-count metric to enable the dynamic and robust routing of data towards the sink in mobile environments. It is motivated by the application of radiation mapping by unmanned vehicles, which requires the reliable and timely delivery of regular measurements to the sink. PHASeR maintains a gradient metric in mobile environments by using a global TDMA MAC layer. It also uses the technique of blind forwarding to pass messages through the network in a multipath manner. PHASeR is analysed mathematically based on packet delivery ratio, average packet delay, throughput and overhead. It is then simulated with varying mobility, scalability and traffic loads. The protocol gives good results over all measures, which suggests that it may also be suitable for a wider array of emerging applications.

show abstract

An Opportunistic Routing for Mobile Wireless Sensor Networks Based on RSSI

Cited by 14 publications

References 9 publications

LESS: Link Estimation with Sparse Sampling in Intertidal WSNs

LESS: Link Estimation with Sparse Sampling in Intertidal WSNs

A wireless paging network with load-balancing equal opportunity routing in high-rise building construction

Proactive Highly Ambulatory Sensor Routing (PHASeR) protocol for mobile wireless sensor networks

Contact Info

Product

Resources

About