Packet length and transmission power adaptation for energy-efficiency in low-power wireless communications

Zogovic, Nikola; Dimić, Goran; Bajić, Dragana

doi:10.1109/telsks.2011.6143251

Cited by 7 publications

(9 citation statements)

References 9 publications

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“…(8) This function is very similar to the dependence function and that similarity is represented in Fig. 2.…”

Section: (6)supporting

confidence: 67%

“…As mentioned before, energy function is presented in [4], and more details can be found in [8]. We provide the objective function for convenience,…”

Section: System Modelmentioning

confidence: 99%

“…This method requires approximate function of the dependence function with analytical form. For example, we have taken function (8) and named it approximate function (app funct ).…”

Section: (6)mentioning

confidence: 99%

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Energy efficiency utilizing lookup table in wireless sensor networks

Smidling

Zogovic

2013

2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)

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In this paper we present a method for calculation of minimal energy parameters in packet transmission using lookup table. The parameters are transmission power and packet length. The proposed solution depends on careful selection of transmission energy points to be pre-calculated to achieve accuracy greater than 99.9%. This way, energy minimum can be found almost instantaneous with as little as 7700B of memory space usage. From the perspective of wireless sensor network nodes, methods utilizing lookup tables can reduce time needed for obtaining solution considerably, compared to numerical methods, since it is faster to locate data in table than to calculate it, especially when complex calculations are required.

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“…(8) This function is very similar to the dependence function and that similarity is represented in Fig. 2.…”

Section: (6)supporting

confidence: 67%

“…As mentioned before, energy function is presented in [4], and more details can be found in [8]. We provide the objective function for convenience,…”

Section: System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Energy efficiency utilizing lookup table in wireless sensor networks

Smidling

Zogovic

2013

2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)

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“…Along with Dynamic Voltage Scaling(DVS) and Dynamic Frequency Scaling(DFS), selective powering to the required hardware blocks and peripherals based on battery capacity is also useful and applied [28]. Apart from voltage and frequency scaling, parameters related to communication i.e transmission power [23,29] and packet length [29,30] is optimized to conserve energy spent for sending and receiving data. In [31], the author addressed transmission range distribution optimization problem for the nodes that send packets over variable transmission ranges.…”

Section: Related Workmentioning

confidence: 99%

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

Patel¹,

Shah²

2019

IJITEE

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Wireless sensor network is widely used to monitor sparsely generated events through a centralized system. The coverage provided by the network to monitor region of interest vary and rely on the system components of sensor node. While monitoring events from cluster head or sink through sensor nodes located at a distant, it experiences increased communication cost due to prone errors which are proportional to losses due to distance and interferences. Biotelemetry application is reviewed for the derivation of the research problem which is worked upon in the present paper. The animals move around in their habitat performing various activities which are to be monitored. The sensing tags are mounted on the animals to study the behaviour of the animals. These animals roam around in their habitat generating variation in the interferences caused for communication. Due to wide variations, the inefficiency of the sensor node in communication results in draining battery rapidly and thereby life of sensor node. So in order to improve lifetime the optimization at the sensor node is very essential to keep network alive. The technique that performs optimization needs to be lightweight in terms of processing required as well as tuning of parameter which are required for model based optimization methods. In the paper, we proposed a technique which is lightweight and can dynamically optimize operating state. It is done by adaptively configuring communication parameters to patch losses and conserve energy to enhance Sensor node lifetime. The optimization technique proposed, does parameter tuning to minimize the communication cost in sensor node through efficient search method. The results are compared with traditionally employed technique with static setting and Online Greedy Optimization Algorithm. NI LabVIEW is used to do simulation of the model and for estimating the effect of parameter reconfiguration upon application of optimization techniques

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“…It collects individual packets into a single frame sharing a single header, instead of assigning a separate header to each one of the packets [2]. Such a procedure increases both data throughput and efficiency while reducing the impact of control data overhead on energy per transmitted information data bit [3,4]. Packet aggregation has found a variety of applications, e.g.…”

Section: Introductionmentioning

confidence: 99%

A hybride procedure with selective retransmission for aggregated packets of unequal length

Bajić

Dimić

Zogovic

2013

2013 IEEE International Conference on Communications (ICC)

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This paper introduces a hybrid aggregated packet (or fragment) procedure with selective retransmission, based on low power integer codes. The protection at aggregated level is performed using two checksums. In a case of detected error, intermediary results of coding procedure -two auxiliary checksums per packet -are used as incremental redundancy. Auxiliary syndromes at the receiver then determine further actioneither error correction at packet level and correction verification at the aggregated level, or selective retransmission. Energy saving is achieved by the low power coding procedure. The performance analyses include retransmission, redundancy, delay and residual packet error rate.

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Packet length and transmission power adaptation for energy-efficiency in low-power wireless communications

Cited by 7 publications

References 9 publications

Energy efficiency utilizing lookup table in wireless sensor networks

Energy efficiency utilizing lookup table in wireless sensor networks

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

A hybride procedure with selective retransmission for aggregated packets of unequal length

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