An efficient routing scheme with optimal power control in wireless multi-hop sensor networks

Lu, Yi-Jen; Sheu, Tsang-Ling

doi:10.1016/j.comcom.2007.05.011

Cited by 14 publications

(6 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We present the results of simulations conducted to test the effectiveness of our proposed approach and compare its performance with that of [4,8,9,11]. The numerical results show that our algorithm obtains the minimum energy consumption compared to other protocols.…”

Section: Related Workmentioning

confidence: 86%

See 1 more Smart Citation

Energy Efficient Congestion Control in Wireless Sensor Network

Uthra

Raja

2014

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

Abstract. Power consumption plays crucial role in wireless sensor network (WSN). WSN is widely used for many applications in industries, military, home monitoring system etc. Data is sensed, manipulated and transmitted to the next hop nodes. Finally it reaches the destination. Certain amount of battery power is consumed by the sensor node for transmitting, receiving, listening and sleeping. In order to utilize the battery power efficiently we developed a technique which finds suitable forwarding node for transmission. The forwarding node is found based on the power level of the transmitter node. The forwarding node is chosen so that the distance to the destination is minimum compared to other neighbor nodes of the transmitter node. Moreover, energy in WSN is wasted due to packet retransmission. Network congestion is one of the primary reasons for packet drop which leads to packet retransmission. Therefore in addition to the energy efficient model, congestion control method is also proposed. Suitable outgoing rate is selected for every node in order to reduce congestion. Simulation results are compared with existing protocols and show improvement.

show abstract

Section: Related Workmentioning

confidence: 86%

“…However, SPEED does not consider any energy metric in its routing protocol. Energy efficient end -to-end delay guaranteed routing protocol is performed in CED [8]. CED considered end-to-end QoS and forward error correction (FEC) to increase the probability of accurate frame transmission.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Congestion Control in Wireless Sensor Network

Uthra

Raja

2014

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

show abstract

“…The network is monitored to detect any changes, sending the sink periodically broadcasts, following an event in the network such as a sudden change in temperature and movement. Sensors near the event back then the information recorded and route it to the sink [8].…”

Section: Proactive (Periodical)mentioning

confidence: 99%

Stochastic Time Evolving Routing Protocol based on Energy and Delay Metrics

Ouferhat¹,

Mellouk²

2010

JCM

View full text Add to dashboard Cite

In this article, we introduce a Quality of Service (QoS) routing algorithm based on dynamic state-dependent policies. The proposed algorithm uses a bio-inspired approach based on trial/error paradigm to optimize two QoS different criteria: Energy and end-to-end delay. Our proposal, called EDEAR “Energy and Delay Efficient Adaptive Routing”, uses a paradigm based on routes’ exploration. In this phase, we collect information in terms of energy and delay by using continuous learning parameters on the network and update routing table maintained at each node of the network. This phase of exploration has been optimized by proposing a new algorithm based on multipoint relay for energy consumption, thus reducing the overhead generated by the packets exploration. Numerical results obtained with NS simulator for different levels of traffic’s load and mobility show that EDEAR gives better performances compared to traditional approaches.

show abstract

“…A lot of works have been devoted to the problems of sensor networks but not for the high data rates encountered in 802.11 networks as in our work. These works looked at topology control [ 9 , 10 ], power management [ 11 , 12 ], energy awareness and optimal routing [ 13 – 20 ]. Recent focus has shown concentration in multichannel assignment [ 21 – 34 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-Channel Multi-Radio Using 802.11 Based Media Access for Sink Nodes in Wireless Sensor Networks

Campbell

Khan

Singh

et al. 2011

Sensors

View full text Add to dashboard Cite

The next generation surveillance and multimedia systems will become increasingly deployed as wireless sensor networks in order to monitor parks, public places and for business usage. The convergence of data and telecommunication over IP-based networks has paved the way for wireless networks. Functions are becoming more intertwined by the compelling force of innovation and technology. For example, many closed-circuit TV premises surveillance systems now rely on transmitting their images and data over IP networks instead of standalone video circuits. These systems will increase their reliability in the future on wireless networks and on IEEE 802.11 networks. However, due to limited non-overlapping channels, delay, and congestion there will be problems at sink nodes. In this paper we provide necessary conditions to verify the feasibility of round robin technique in these networks at the sink nodes by using a technique to regulate multi-radio multichannel assignment. We demonstrate through simulations that dynamic channel assignment scheme using multi-radio, and multichannel configuration at a single sink node can perform close to optimal on the average while multiple sink node assignment also performs well. The methods proposed in this paper can be a valuable tool for network designers in planning network deployment and for optimizing different performance objectives.

show abstract

An efficient routing scheme with optimal power control in wireless multi-hop sensor networks

Cited by 14 publications

References 11 publications

Energy Efficient Congestion Control in Wireless Sensor Network

Energy Efficient Congestion Control in Wireless Sensor Network

Stochastic Time Evolving Routing Protocol based on Energy and Delay Metrics

Multi-Channel Multi-Radio Using 802.11 Based Media Access for Sink Nodes in Wireless Sensor Networks

Contact Info

Product

Resources

About