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In Wireless Sensor Networks (WSNs), recharging node batteries may be inconvenient or impossible. There are several different approaches to overcome this problem. LEACH (Low-Energy Adaptive Clustering Hierarchy) is a well known algorithm whose best advantage is that each node makes its decision about whether to be a cluster-head independently, but it cannot guarantee an even energy load distribution...
In a cognitive radio network (CRN), secondary (or unlicensed) users intend to share unoccupied frequency spectra of primary (or licensed) users in order to improve the efficiency of spectrum usage. In this paper, we address the problem of dynamic spectrum sharing in a CRN consisting of multiple SUs that compete non-cooperatively and independently with each other to demand spectrum access to a single...
In this paper, a new fast algorithm is proposed to suppress inter-carrier interference (ICI) in SISO-OFDM systems. Previous algorithms, due to high computation time, are impractical for OFDM systems especially with large number of subcarriers. To overcome this problem, our proposed algorithm computes rather than K2 elements of carrier frequency offset (CFO) matrix used by previous algorithms, only...
In cognitive radio networks, secondary users can be coordinated to perform cooperative spectrum sensing to achieve higher detection accuracy. However, when the number of cooperative users increases, more overhead traffic of decision transmission introduced to network and throughput of cognitive radio network decreases. Furthermore, the performance of cooperative spectrum sensing is limited by the...
In this paper, the problem of energy saving in cooperative multi-hop wireless sensor networks is studied with the constraint of a given outage probability. In these networks, each node transmits its signal to the next mcoop nodes on the route ending with the sink node. Rice and Nakagami channels are considered. In this paper, we derive the upper bound of the end to end (e-2-e) outage probability for...
Distributed MIMO or Cooperative transmission is an appropriate way to use in sensor networks that have constraint on energy consumptions. In this paper, we consider a minimum end to end (e-2-e) total power allocation while satisfying an e-2-e given maximum outage probability as the constraint for a cluster-based multi-hop cooperative network. To simplify this optimization problem, we apply some approximations...
In this paper, the amount of energy saving is studied in cooperative multi-hop wireless sensor networks with the constraint of a given outage probability. In these networks, each node transmits its signal to the next m_coop nodes on the route ending with the sink node. Nakagami channels are considered. Numerical results show that the purposed cooperative routing can provide considerable energy saving...
In this paper, we develop a distributed adaptive radio transmit resource allocation based on game theory in the orthogonal frequency division multiplexing (OFDM) cellular systems. In this regard we consider power of each user as a resource and then solve power control problem based on the idea of the nash equilibrium (NE) from non-cooperative game. Based on game theory, a utility function is proposed...
We study the problem of optimizing the symbol error probability (SEP) performance of cluster-based cooperative wireless sensor networks (WSNs). We propose that to achieve the minimum SEP at the destination, a joint optimization of power allocation and relay selection should be accomplished. To this aim, we reformulate the SEP performance of a simple cluster-based cooperative WSN in the general form...
Tracking moving objects with wireless sensor networks (WSNs) has received much concern because of its practical applications in nowadays world. Tracking accuracy is deeply dependant upon tracking time interval of the tracking network. This paper proposes a new adaptive power optimization scheme for target tracking sensor networks. This scheme includes a fast dynamic adaptive prediction-based tracking...
We consider the minimization of power consumption in target tracking wireless sensor networks (WSNs) using dynamic modification of tracking interval. In this context, we first analyze the performance of such networks, using a quantitative mathematical analysis. Then we calculate an upper bound for the achievable improvement in total power consumption, when using an adaptive time interval modification...
We study the problem of power optimization for object tracking using distributed wireless sensor networks (WSNs). The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this increases the power consumption significantly. This paper proposes a modified adaptive sleep time management...
In secondary underlay transmission in a host channel, the signal from primary transmitter produces high interference for secondary low power links. In this paper, we propose a primary interference suppression technique by using direct sequence spread spectrum. We show that secondary users can efficiently suppress the high power signal from a primary transmitter by using proper processing gains. Also,...
In this paper, we consider a target-tracking sensor network and improve its energy awareness through predicting a target trajectory and decreasing sampling rate of sensors while maintaining an acceptable tracking accuracy. The tracking problem is formulated as a hierarchical Markov decision process (MDP) and is solved through neurodynamic programming. Though this is not new, improvements in performance...
In conventional incremental redundancy cooperative coding (IRCC) multiuser networks, if a user decodes its partnerpsilas data with error, it ignores sending incremental redundancy for its partner; thus, cooperation gain can not be achieved in such a case. In this paper, we propose a novel scheme that achieves cooperation gain even when relaying users decode their partnerpsilas data with error. This...
Summary form only given: Energy supply in wireless sensor networks (WSNs) is limited and non-replenishable, and energy efficiency is the most important feature in designing these networks. One way to reduce the energy consumption of WSNs and hence prolong the lifespan of these networks is to use adaptive clustering algorithms. In this paper, we use Ant Colony Optimization for Clustering (ACO-C) to...
Energy conservation in wireless sensor networks (WSNs) is one of the primary performance parameters. In this paper, an energy-efficient virtual multiple-input multiple-output (MIMO) communication architecture based on distributed source coding (DSC) is proposed for energy-constrained, distributed wireless sensor networks. Low density parity check (LDPC) code is one of the practical codes that can...
Energy conservation in wireless sensor networks (WSNs) is the primary performance parameter, because of their limited energy resources. Thus, some energy saving technologies should be applied. One of these technologies for WSNs is distributed source coding (DSC), related to correlation between sensor outputs. In this paper, we propose to apply multirate distributed source coding to reduce energy consumption...
Both cooperative diversity and adaptive modulation provide significant enabling techniques for future generations of wireless communication networks. In this paper, we consider an IRCC (incremental redundancy cooperative coding) based cooperative network, which uses adaptive node transmission. Two cases are considered: (i) adaptive transmission only at relay nodes; (ii) adaptive transmission at source...
The accuracy of the object tracking is dependent on the tracking time interval. Smaller tracking time interval increases the accuracy of tracking a moving object. However, this increases the power consumption significantly. This paper proposes a new adaptive algorithm (AEC) to adapt tracking time interval such that it minimizes power consumption while keeping the required accuracy. Simulation results...
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