Prolonged network life-time in self-organizing peer-to-peer networks with E-RSSI clustering

Garrosi, Mehdi Tavakoli; Zafar, Bilal; Haardt, Martin

doi:10.1109/icc.2012.6364954

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…After finding the best centroid for each device, each centroid c k gets its own vector of associated devices which form the set A k ; hence, A k with c k form an initial cluster. After obtaining the corresponding centroid of each device, we can now calculate the forces exerted on each centroid by the set of devices within its cluster and by the other centroids, using (15). Then the centroid is moved according to (16).…”

Section: Solution Methodology and Algorithmsmentioning

confidence: 99%

“…Reactive techniques aim at either minimizing failures or recovering from failure events in a dynamic fashion after cluster formation. The authors in [15] present an RSSI (received signal strength indicator) based approach for cluster formation in sensor networks whereby cluster head selection takes into account signal strength level and energy budget among neighbor nodes with the option of dynamically replacing cluster heads based on given performance metrics. The authors in [16] present a mechanism for dynamic cluster head re-election by executing an update algorithm on a periodic basis using pre-configured parameters.…”

Section: A Related Workmentioning

confidence: 99%

“…Short range D2D wireless technologies such as WiFi-Direct and Bluetooth do not include intelligence for group owner (cluster head) election as part of their standards. This triggered research to devise optimized mechanisms for cluster head election, either based on rotation among devices to distribute load over time such as the LEACH (low-energy adaptive clustering hierarchy) protocol [25] or based on biased selection taking into account performance metrics such as centrality of location or availability of energy budget [26], [27], [15], [28]. For example, the LEACH protocol divides time into rounds whereby in each round a new random sensor node is assigned as cluster head to evenly distribute the energy load among all sensors over time.…”

Section: A Related Workmentioning

confidence: 99%

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A proactive scalable approach for reliable cluster formation in wireless networks with D2D offloading

Sharafeddine

Farhat

2018

Ad Hoc Networks

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With the current exponential growth in traffic and service demands, device-to-device (D2D) cooperation is identified as a major mechanism to enable 5G networks to effectively and efficiently augment network resources. The effectiveness of D2D cooperation depends on a wide range of decision making processes that include cluster formation, resource allocation, in addition to connection and mobility management. Irrespective of the D2D cooperation scenario whether in sensor, ad hoc, or cellular networks, the literature normally assumes that devices selected as relays or data sources are reliable; this means that they will maintain the connection till the communication session ends. Yet, this assumption is challenged in practice since devices' batteries can be depleted (e.g., sensors in an IoT network) and devices can move leading to connection termination (e.g., mobile users in a WiFi network or cars in a vehicular ad hoc network). To this end, we address the problem of reliable D2D cooperation in wireless networks by proposing a novel approach that is proactive by utilizing reliability metrics in the decision making process, and scalable by having low implementation complexity suitable for dense networks. These differentiating factors are shown to enhance the overall network reliability compared to standard techniques and to facilitate dynamic operation which is essential for practical implementation. Performance is evaluated using extensive simulations in addition to test bed experimental demonstration in order to quantify gains and extract insights on a range of existing design tradeoffs.

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Section: Solution Methodology and Algorithmsmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

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A proactive scalable approach for reliable cluster formation in wireless networks with D2D offloading

Sharafeddine

Farhat

2018

Ad Hoc Networks

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“…The CH node will transmit its nomination to the nodes in the cluster. The nodes that participate in each cluster have been selected by their distance to the CH node, by the Received Signal Strength Indicator (RSSI), [16,17]. In the set-up phase, the selection of which nodes will be converted into CH nodes for the current round is made independently and randomly, as long as the energy of the node is greater than zero and over a minimum threshold value.…”

Section: The Leach Protocolmentioning

confidence: 99%

Leach performance analysis varying the percentage of cluster head

Anzola¹,

Jiménez-Álvarez²,

Tarazona-Bermúdez³

2018

Vis. Electron.

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The LEACH protocol is a “standard” protocol used in the analysis and simulation of wireless sensor networks. This article analyzes the effect of varying parameter values in the LEACH protocol. In particular, the case of varying cluster head node assignments to , , and of the total nodes of the network. Specifically, it shows the energy effect of this variation and the corresponding data traffic analysis, showing simulation results that illustrate the behavior resulting from this variation by using an approach of time-division multiplexing on the clusters.

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