Distributed Latency-Energy Minimization and interference avoidance in TDMA Wireless Sensor Networks

Macedo, Mário; Grilo, António; Nunes, Mário Serafim

doi:10.1016/j.comnet.2008.10.015

Cited by 32 publications

(17 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, this is achieved not only through the proper selection of a slot allocation mechanism that assigns non-overlapping slots to every node, but also by designing a robust TDMA protocol, able to suitably cope with crucial concerns typically encountered in such protocols, such as loss of synchronization or variable channel conditions. In this context, our interest is focused on the research works [30,31], since they consider different criteria for generating an efficient slot allocation and subsequent network operation that might be compatible with ASES, although increasing its complexity.…”

Section: Time Division Multiple Access Protocolsmentioning

confidence: 99%

On the influence of the hidden and exposed terminal problems on asynchronous IEEE 802.15.5 networks

Rodenas-Herráiz

García‐Sánchez

García-Sánchez

2015

Computer Standards & Interfaces

View full text Add to dashboard Cite

a b s t r a c t Hidden and exposed terminal problems are known to negatively impact wireless communications, degrading potential computing services on top. These effects are more significant in Wireless Mesh Sensor Networks (WMSNs), and, particularly, in those based on the IEEE 802.15.5 Low-Rate Wireless Personal Area Network (LR-WPAN mesh) standard, a promising solution for enabling low-power WMSNs. The first contribution of this paper is a quantitative evaluation of these problems under the IEEE 802.15.5 Asynchronous Energy Saving (ASES) mode, which is intended for asynchronous data-collection applications. The results obtained show a sharp deterioration of the network performance. Therefore, this paper also reviews the most relevant approaches that cope with these problems and are compatible with ASES. Finally, a set of these proposals is assessed to find out those more suitable for their potential integration with ASES, which constitutes the second major contribution of the paper.

show abstract

Section: Time Division Multiple Access Protocolsmentioning

confidence: 99%

On the influence of the hidden and exposed terminal problems on asynchronous IEEE 802.15.5 networks

Rodenas-Herráiz

García‐Sánchez

García-Sánchez

2015

Computer Standards & Interfaces

View full text Add to dashboard Cite

show abstract

“…The latency-energy minimization medium access (LEMMA) is a cross-layer proposal by Macedo et al (2009) that jointly optimizes routing in sporadic-traffic WSNs. Transmission of higher power tones is used to avoid scheduling of sensors at the same time slot of the TDMA method.…”

Section: Medium Access Control Layermentioning

confidence: 99%

A survey on cross-layer solutions for wireless sensor networks

Mendes

Rodrigues

2011

Journal of Network and Computer Applications

139

View full text Add to dashboard Cite

“…In [32] author proposes a simple minimum-delay schedule algorithm to find the slot lengths for all the links. Latency Energy Minimization Medium Access (LEMMA) [23] is an improvement to TDMA to reduce latency. LEMMA describes two states: transitory state that allocates time-slot during initialization phase and steady state, for data transmission.…”

Section: Tdma Based Mac Protocolsmentioning

confidence: 99%

Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks

Saxena¹,

Mishra²,

Sharma³

et al. 2010

IJCA

View full text Add to dashboard Cite

Researchers in wireless Micro-sensor networks (M-WSN) have proposed various protocols for energy conservations. Each protocol is aimed to optimize power utilization in wireless sensor networks. The different protocol approaches optimize power consumption either considering their application areas or network topologies. This paper studies various energy-saving protocols for micro sensor networks and presents their brief classifications. An M-WSN is a group of hundreds or thousands of small energy-limited sensors that are densely deployed in a large geographical region. These micro sensors in sensor network are autonomous devices responsible for forwarding locally collected data to a central node called sink node by following multi-hop wireless paths. The sink node performs data fusion to form a single meaningful result. The micro sensors work by utilizing limited battery-power, the considerable part is to use this power for a maximum time. Although recent developments in electronics has enabled the development of low-cost & low-power sensors networks, still there is a challenging job of energy conservation optimization within the wireless sensor networks (WSNs).

show abstract

Distributed Latency-Energy Minimization and interference avoidance in TDMA Wireless Sensor Networks

Cited by 32 publications

References 19 publications

On the influence of the hidden and exposed terminal problems on asynchronous IEEE 802.15.5 networks

On the influence of the hidden and exposed terminal problems on asynchronous IEEE 802.15.5 networks

A survey on cross-layer solutions for wireless sensor networks

Review on Protocol based Approaches to Extend Lifetime of Wireless Sensor Networks

Contact Info

Product

Resources

About