Enhancing Energy Efficiency via Cooperative MIMO in Wireless Sensor Networks: State of the Art and Future Research Directions

2017 ◽  
Vol 55 (11) ◽  
pp. 47-53 ◽  
Author(s):  
Yuyang Peng ◽  
Fawaz Al-Hazemi ◽  
Raouf Boutaba ◽  
Fei Tong ◽  
Il-Sun Hwang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
State Of The Art ◽  
Wireless Sensor ◽  
Future Research ◽  
Research Directions ◽  
Cooperative Mimo ◽  
Future Research Directions

scholarly journals Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Pearl Antil ◽  
Amita Malik
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Future Research ◽  
Detection Algorithms ◽  
Coverage Hole ◽  
Future Research Directions ◽  
Detection Schemes ◽  
Coverage Hole Detection ◽  
Hole Detection

Owing to random deployment, environmental factors, dynamic topology, and external attacks, emergence of holes in wireless sensor networks is inescapable. Hole is an area in sensor network around which sensors cease to sense or communicate due to drainage of battery or any fault, either temporary or permanent. Holes impair sensing and communication functions of network; thus their identification is a major concern. This paper discusses different types of holes and significance of hole detection in wireless sensor networks. Coverage hole detection schemes have been classified into three categories based on the type of information used by algorithms, computation model, and network dynamics for better understanding. Then, relative strengths and shortcomings of some of the existing coverage hole detection algorithms are discussed. The paper is concluded by highlighting various future research directions.

QoS-Based Data Aggregation Technology in Wireless Sensor Networks

2011 ◽  
Vol 135-136 ◽  
pp. 702-708
Author(s):  
Zheng Yu Chen ◽  
Geng Yang ◽  
Guo Hua Li ◽  
Jian Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Future Research ◽  
Efficient Manner ◽  
Trade Offs ◽  
Future Research Directions ◽  
Definition Of

The main goal of data-aggregation algorithms in wireless sensor networks (WSNs) is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. In this article, we focus on QoS-based data-aggregation problems in WSNs. Firstly, we provide a definition of the different QoS parameters for data aggregation, such as energy efficiency, network lifetime, data latency and data quality. Then, we compare the different algorithms on each QoS parameter, describe the main features of each algorithm, and highlight the trade-offs between each parameter. Finally, we conclude with possible future research directions on QoS-based data aggregation in WSNs.

scholarly journals An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6168
Author(s):  
Ngoc-Thanh Dinh ◽  
Younghan Kim
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Collection ◽  
State Of The Art ◽  
Important Application ◽  
Wireless Sensor ◽  
Semantic Data ◽  
Construction Scheme ◽  
Semantic Tree

Data collection is an important application of wireless sensor networks (WSNs) and Internet of Things (IoT). Current routing and addressing operations in WSNs are based on IP addresses, while data collection and data queries are normally information-centric. The current IP-based approach incurs significant management overheads and is inefficient for semantic data collection and queries. To address the above issue, this paper proposes a semantic data collection tree (sDCT) construction scheme to build up a semantic data collection tree for wireless sensor networks. The semantic tree is rooted at the edge/sink and supports data collection tasks, queries, and configurations efficiently. We implement the sDCT in Contiki and evaluate the performance of the sDCT in comparison with the state-of-the-art scheme, 6LoWPAN/RPL and L2RMR, using telosb sensors under various scenarios. The obtained results show that the sDCT achieves a significant improvement in terms of the energy efficiency and the packet transmissions required for data collection or a query task compared to 6LoWPAN/RPL and L2RMR.

Sign in / Sign up

Export Citation Format

Share Document