Challenges and Implementation on Cross Layer Design for Wireless Sensor Networks

Ranjan, Rajeev; Varma, Shirshu

doi:10.1007/s11277-015-2972-3

Cited by 27 publications

(17 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Energy consumption is a significant issue in OTNS. Cross-layer, integration of WSN layers is an energy saving approach; it cuts down the number of overhead because data is shared between layers [111]. Researchers have proposed many cross-layer integration protocols; however, the existing models are application-specific, and they cannot be used in different applications.…”

Section: Cross-layer Integrationmentioning

confidence: 99%

Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions

Adam

Anisi

Ali

2020

Future Generation Computer Systems

View full text Add to dashboard Cite

The development of pervasive communication devices and the emergence of the Internet of Things (IoT) have acted as an essential part in the feasibility of smart city initiatives. Wireless sensor network (WSN) as a key enabling technology in IoT offers the potential for cities to get smatter. WSNs gained tremendous attention during the recent years because of their rising number of applications that enables remote monitoring and tracking in smart cities. One of the most exciting applications of WSNs in smart cities is detection, monitoring, and tracking which is referred to as object tracking sensor networks (OTSN). The adaptation of OTSN into urban cities brought new exciting challenges for reaching the goal of future smart cities. Such challenges focus primarily on problems related to active monitoring and tracking in smart cities. In this paper, we present the essential characteristics of OTSN, monitoring and tracking application used with the content of smart city. Moreover, we discussed the taxonomy of OTSN along with analysis and comparison. Furthermore, research challenges are investigated concerning energy reservation, object detection, object speed, accuracy in tracking, sensor node collaboration, data aggregation and object recovery position estimation. This review can serve as a benchmark for researchers for future development of smart cities in the context of OTSN. Lastly, we provide future research direction. Highlights One of the most interesting applications of wireless sensor networks in smart cities would be detecting and monitoring or tracking of objects based on object tracking sensor networks (OTSN).  The review delineates the advantages as well as the weakness of existing OTSN and conduct a comparative view.  Furthermore, research challenges in OTSNs and existing methods are investigated with a focal point of energy constraints, object detection, object speed, tracking accuracy, sensor node collaboration, data aggregation and object recovery position estimation in WSN and smart cities.  Open research issues that required further improvement are summarized.

show abstract

Section: Cross-layer Integrationmentioning

confidence: 99%

Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions

Adam

Anisi

Ali

2020

Future Generation Computer Systems

View full text Add to dashboard Cite

show abstract

“…• It is not clear how when and where the cross-layer proposals should be implemented in CLD. • It is hard to review and redesign because changes in subsystem may cause changes in other parts of the system [12]. • There is a lack of standardization in cross-layer design that leads to many problems.…”

Section: Research Gapmentioning

confidence: 99%

A Review on Cross-Layer Design Approach in WSN by Different Techniques

Parween¹,

Hussain²

2020

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Wireless Sensor Networks (WSN) include a large number of sensor nodes that are connected to each other with the limitations in energy sources, battery life, memory, mobility and computational capacity. Since the traditional layered architecture was appropriate only for the wired network. It works within a strict boundary that leads to more energy usage as well as more communication traffic. It also impacts on the overall network lifespan and performance of the system. Energy efficiency and network lifespan are the primary concern of WSN due to the fact that each node in the network operates with extremely limited energy. Recent studies have shown that the Open System Interconnection (OSI) model cannot meet the demands of the wireless sensor network. To overcome such limitations, the cross-layer design has been introduced. It allows direct interactions between protocol at non-adjacent layers. In this paper, we present different types of cross-layer design techniques in Wireless Sensor Network (WSN) and discusses several cross-layer proposals given by researchers. At the end, the paper highlights some challenges faced in implementing CLD in Wireless Sensor Networks.

show abstract

“…To overcome the drawbacks of traditional layered protocol architecture design in wireless sensor networks, researchers have proposed the cross-layer design approach. Cross layer design may be defined as breaking of OSI layer in communication network, Cross layer design allows not only protocol interactions across the layers, but also the possibilities of merging and removal of layers, and the creation of new interfaces and entities for interactions between the layers [19]. The traditional layered approach provides a platform for designing interoperable systems, but it suffers from more transfer overhead.…”

Section: Cross Layer Designmentioning

confidence: 99%

“…Ghalib A. Shah et al, [11] have describe a cross-layer approach for improvement quality of service by optimizing the functionalities of communication protocols. Rajeev Ranjan et al, [12] have proposed a cross-layer design approach for Wireless Sensor Network. This cross-layer design approach improves energy-efficiency of sensor nodes in wireless sensor network.…”

Section: Existing Cross Layer Design Approachmentioning

confidence: 99%

IQOS: A Cross Layer Design Approach for Improve Quality of Service in Wireless Sensor Networks

Saini¹,

Ritika²

2017

IJAST

View full text Add to dashboard Cite

show abstract

Challenges and Implementation on Cross Layer Design for Wireless Sensor Networks

Cited by 27 publications

References 55 publications

Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions

Object tracking sensor networks in smart cities: Taxonomy, architecture, applications, research challenges and future directions

A Review on Cross-Layer Design Approach in WSN by Different Techniques

IQOS: A Cross Layer Design Approach for Improve Quality of Service in Wireless Sensor Networks

Contact Info

Product

Resources

About