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The BROGO algorithm has been recently presented for Leader Election in Wireless Sensor and IoT Networks, where after finding a spanning tree of a network, each leaf will route a message through its branch to the root in order to determine the leader in that branch. The root will then elect the global leader among the received branch leaders. The main drawback of this algorithm is a possible failure...
An increasing number of internet connected devices access large multimedia files over the Internet. Therefore, the bandwidth demand is exponentially increasing. To satisfy users’ demands, multi-band wireless routers, which simultaneously support several bands, are developed. However, current multiband routers do not attempt to maximize the utilization of frequency bands nor consider the energy consumption...
Cloud-based platforms for handling Internet-of-Things data can reduce the energy consumption of various ICT modules (e.g., data centers, networking equipment, battery-equipped devices) by applying appropriate system configurations. However, this is currently prevented by the higher prioritization of other goals, the complexity or unawareness of the synergies between system configurations and energy...
Femtocells have proved to be an effective solution for handling the ever increasing demands for wireless data without incurring additional deployment costs. Deployment of these low cost, miniature base stations not only improves network robustness but also facilitates efficient location specific services for mobile users. However, dense deployment of femtocells comes with the cost of increased interference...
In order to fully exploit the high speed broadband multimedia services, prolonging the battery life of user equipment (UE) is critical from user's perspective, especially for the smartphone users. A collaborative mobile cloud (CMC), which consists of several UEs offers one potential solution for reducing the energy consumption at the terminal side. In this paper, an OFDMA mobile cloud system with...
Interference management is an important subject in Device to Device (D2D) communication when underlying a LTE-A cellular band. By default, in LTE-A there is negligible intra-cell interference due to the orthogonality of the subcarriers but this orthogonality will be lost when D2D communication takes place under cellular users (CU). Therefore, the purpose of this paper is to propose a novel scenario...
This paper focus on multi hop mobility management in WSN ad hoc Network using DVS algorithm for minimum energy consumption. To improve cross layer collaborative in wireless sensor network as well as to improve processing capacity according requirement. In WSN, senor do not only process information at application layer but also synchronize their communication. Using our propose architecture containing...
The power consumption of wireless access networks is becoming an important issue in the green cellular-technology. The concept of green 4G LTE system depends on enhanced design strategy of efficient LTE energy system in order to reduce greenhouse emission as well as operators energy bill. In this paper we have studied eNB sleep modes to identify the traffic awareness in LTE networks and subsequently...
The introduction of mobile sink to wireless sensor networks (WSNs) can effectively address the hot-spot problem. However, as the sink moves in the sensing area, its location information needs to be broadcasted periodically to ensure network connectivity. This additional location update process will increase communication cost in each sensor node. To deal with this problem, this paper proposes a Square-Based...
With the continuous evolution of wireless technologies, there is today a plethora of access networks ranging from wireless hotspots to high speed cellular networks. Within this rich environment and with multimodal terminals that are able to connect to different wireless technologies at once, users are expecting to benefit from higher throughput and enhanced QoS. However, the coexistence of several...
Cognitive radio sensor network (CRSN) is an emerging sensor networking paradigm that aims to incorporate opportunistic spectrum access capability to the wireless sensor networks. Since sensor nodes are energy-constrained devices, design of efficient spectrum sensing schemes is imperative for the implementation of CRSNs. In order to address this need, a cooperative spectrum sensing scheme (CSS), specifically...
Wireless nanosensor networks (WNSNs), which consist of a lot of nanosensors with size of just a few hundred nanometers and are able to detect and sense new types of events at the nanoscale, are promising for a lot of unique applications like intrabody drug delivery systems, air pollution surveillance, etc. One important feature of WNSNs is that the nanosensors are highly energy-constrained, which...
Recent advances of hardware and integrated chip have made the body-implanted medical device reality. In this paper, a chronic disease management system with implanted devices based on Wireless Sensor Networks (WSN) was proposed for people with chronic illnesses. We first described the architecture of the chronic disease management system. Then through analyzing the system architecture, we explained...
A wireless sensor network can be divided into several clusters. Each cluster has a number of sensors nodes and one of the nodes is elected as the coordinator, termed as head. The head is responsible for not the general mission but also collecting the sensed data of other nodes and routing to the sink. Accordingly, the energy-consumption is higher than other nodes. Therefore, the head selection will...
Clustering is a good method to increase WSN lifetime and particularly for smart environment. In this paper, we present fuzzy position based routing for clustered sensor network. It is very useful for the smart environment applications of wireless sensor network without GPS support. The destinations could be located with ambiguous position vectors, and the long time and energy consumption of requesting/replying...
Transmission Control Protocol (TCP) was considered unsuitable for Low power and Lossy Networks (LLNs) due to the characteristics LLN devices (low computing power, strong energy constraint, etc.) and to the absence of IP layer on the network layer. Recently, the IPv6 over Low power Wireless Personal Area Networks (6LoWPANs) has been introduced as an adaptation layer for IPv6 over LLNs. Thanks to the...
A self-learning Smart Trend-Traversal (STT) protocol for tag arbitration is proposed in this work, which effectively reduces the collision overhead occurred in large-scale RFID systems. The protocol dynamically issues queries according to the adaptively learned tag density and distribution; and therefore, it significantly reduces delay and energy consumption. The optimality of STT does not rely on...
Wireless sensor nodes operating in unlicensed bands can exploit frequency agility in order to mitigate, through dynamic spectrum access, the effects of interference induced by collocated networks. With this respect sensor devices can select the frequency band used for their communications in an opportunistic manner: this however requires spectrum sensing and consumes precious energy when more and...
In wireless sensor networks, clustering algorithm prolongs works' lifetime drastically. In a cluster, because the distances are different between member nodes and head node, the energy consumption of member nodes will become unbalanced when they transmit message to the head node directly. The EBCA (energy balanced consumption algorithm) is proposed for the problem. In EBCA, member nodes are divided...
In this paper, a novel Uneven Cirque energy-balance Clustering Routing for sensor networks (UCCR) was proposed. UCCR import energy forecasting mechanism, according to the residual energy of node to determine when to re-cluster. Cluster head is chosen based on the residual energy and the relative position. Multi-hop data routing was formed in inter-cluster, routing to build not only consider the energy...
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