An Energy Efficient Anchor-Free Localization Algorithm for No-Identity Wireless Sensor Networks

Qu, Zhe; Shu, Minglei; Yang, Man; Zhang, Chongqing; Wei, Nuo; Guo, Qingbei; Du, Tao

doi:10.1155/2015/595246

Cited by 6 publications

(3 citation statements)

References 37 publications

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“…This challenges the traditional reliance on pre-established distances within communication range, as seen in [ 15 ]. An anchor-free localization approach was introduced in [ 16 ], utilizing a single node as a global reference position. This node sends a special active packet through the network, and when received by a sensor, the sensor would calculate the angle and distance to the node.…”

Section: Related Workmentioning

confidence: 99%

An Accurate Anchor-Free Contextual Received Signal Strength Approach Localization in a Wireless Sensor Network

Zaarour,

Hakem,

Kandil

2024

Sensors

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Sensor localization remains a crucial function within the context of wireless sensor networks (WSNs) and is a delicate concern that has attracted many researchers’ attention. Undoubtedly, a good distance estimation between different wireless sensors allows us to estimate their accurate locations in the network well. In this article, we present a simple but very effective anchor-free localization scheme for wireless sensor networks called the contextual received signal strength approach (CRSSA) localization scheme. We use the received signal strength (RSS) values and the contextual network connectivity within an anchor-free WSN. We present and thoroughly analyze a novel joint estimation methodology for determining the range, path loss exponent (PLE), and inter-node distances in a composite fading model that addresses small-scale multipath fading and large-scale path loss shadowing effects. We formulate analytical expressions for key parameters, the node’s communication range and the PLE value, as functions of the sensor’s number, the network’s connectivity, and the network density. Once these parameters are estimated, we estimate the inter-node distances and the positions of nodes, with relatively high accuracy, based on the assumed propagation model in a two-dimensional anchor-free WSN. The effectiveness of the CRSSA is evaluated through extensive simulations assuring its estimation accuracy in anchor-free localization.

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Section: Related Workmentioning

confidence: 99%

An Accurate Anchor-Free Contextual Received Signal Strength Approach Localization in a Wireless Sensor Network

Zaarour,

Hakem,

Kandil

2024

Sensors

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“…Qu et al, in [15] proposed an energy-efficient anchor-free localization algorithm, which uses a single well node whose transport capacity and energy is not limited. This well node is taken as a reference position for a global localization of the system by sending an active packet throughout the network.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Anchor-Free Localization Algorithm for all Cluster Topologies in a Wireless Sensor Network

Aka,

Atta,

Keupondjo

et al. 2023

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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A wireless sensor network is a type of network, which has many application domains such as military, civil security, industrial and environmental. Localization of fixed or mobile wireless sensors in wireless sensor networks is a delicate issue that has attracted the attention of many researchers. Indeed, a good estimation of the distances between different wireless sensors allows to derive their precise locations in the network. An ideal solution for locating these wireless sensors is to equip them with localization devices such as GPS. However, this solution is not an energy-efficient. Indeed, GPS is very energy-consuming, and the deployment environment is not easily accessible to humans. So, it is not possible to replace the batteries of these wireless sensors when they are discharged. Therefore, it is necessary to propose an energy-saving anchor-free localization algorithm. Despite the grouping of nodes into clusters (or sub-networks), existing anchor-free localization algorithms suffer from a low rate of node localization, low localization accuracy, and high energy consumption. To improve the proposed solutions in the literature, an Efficient Anchor Free Localization Algorithm (EAFLA) was proposed. Regardless the topology of each cluster, our algorithm allows localization of all wireless sensors with a very low localization error rate and consumes less energy.

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“…In this section, a simple but accurate anchor-free localization algorithm named LDLA is introduced in detail. LDLA is designed based on our previous research in Qu et al, 25 but it is more efficient because in LDLA, sensor nodes are activated by the method of directional ladder data diffusion, and all sensor nodes are identified by their IDs, which reduces communications and improves the accuracy of localization. In addition, the localization system is better satisfied with a global rigid frame based on combined constraints.…”

Section: The Design Of Ldlamentioning

confidence: 99%

A simple efficient anchor-free node localization algorithm for wireless sensor networks

Guo

et al. 2017

International Journal of Distributed Sensor Networks

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In wireless sensor networks, node localization is the first operation after deployment, and the efficiency of localization can directly influence the performance of the wireless sensor network, so designing an efficient localization algorithm has been an important focus in wireless sensor network research. Currently, anchor-free algorithms are the focus of research in node localization because they have the advantages of flexible structure, low cost, high stability and good extensibility. In this article, related research studies of unique localization-, angle-and distance-obtaining methods are introduced, and existing algorithms are analysed. Based on the analysis of existing research, an anchor-free localization algorithm named ladder diffusion node localization algorithm is proposed, in which sensor nodes are located by directional diffused activation and acknowledgement packets with fixed energy. In ladder diffusion node localization algorithm, the time cost of localization is greatly reduced, the communication tasks in localization are allocated in a more balanced manner, and node locations are obtained mainly by rigorous computation instead of measurement, which can reduce transmission measurement error. Finally, the performance of ladder diffusion node localization algorithm is proved both in theory and by the simulation results of experiments.

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An Energy Efficient Anchor-Free Localization Algorithm for No-Identity Wireless Sensor Networks

Cited by 6 publications

References 37 publications

An Accurate Anchor-Free Contextual Received Signal Strength Approach Localization in a Wireless Sensor Network

An Accurate Anchor-Free Contextual Received Signal Strength Approach Localization in a Wireless Sensor Network

An Efficient Anchor-Free Localization Algorithm for all Cluster Topologies in a Wireless Sensor Network

A simple efficient anchor-free node localization algorithm for wireless sensor networks

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