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Wireless sensor network is composed of many wireless sensor nodes with the same or different functions. A typical sensor node consists of four parts: sensor unit, information processing unit, wireless communication unit and energy supply unit. In this paper, the existing ant colony algorithm is analyzed, and an improved ant colony optimization algorithm is proposed. The paper presents design of routing...
Survivability is the primary problem in wireless visual sensor networks (WVSNs) when they are utilized for sewage monitoring with limited resources. In this paper, we propose a low-cost data prioritization framework for sewage microorganism microscopic images to overcome this frangibility of WVSNs. Firstly, an improved fast visual background extraction (Vibe) algorithm is proposed to rapidly detect...
Wireless sensors need to be designed saving power consumption to extend working time. This paper mainly focuses on power optimization based on the function level in the wireless communication block. We use program analysis tools to extract the most frequent-called functions and reframe these functions to pursue less energy consumed. Following the function change, most of the scenarios installed with...
This paper proposes to apply a multiobjective optimization evolutionary algorithm in wireless sensor node redeployment process to improve network lifetime and sensing coverage. The multiobjective optimization uses a population of individuals, each of which represents a set of wireless sensor node positions, and evolves them via the genetic operations for seeking optimal sensing coverage and network...
Researches on efficient wireless routing protocols have attracted a lot of attention recently. The classic wireless routing protocols, such as AODV and DSR, are distance-driven and table-driven, which are rarely addressing the energy consumption issue. Therefore, it is necessary to develop a new network protocol that can provide higher energy efficiency and achieve longer network lifetime. Considering...
Wireless multimedia sensor networks (WMSN) emerges as an important category of Wireless Sensor Networks, which retrieves real-time information such as video and audio streams, still images etc. One of the prominent characteristics of WMSN is severe bandwidth limitation which has great impact on design of routing algorithm. In traditional routing protocols, path(s) are selected aiming at providing...
Due to the dynamic topology, limited resources and unpredictable channel conditions, the strict layered design is not flexible enough to cope with the wireless ad hoc and sensor network environment. This paper presents an in-depth analysis of difficulties in cross-layer design and the latest cross-layering approaches for wireless ad hoc and sensor networks. According to the number of layers involved...
Wireless sensor networks (WSN) have been noticed and researched nowadays. These new type of networks have unique characteristics. These characteristics make them different rather than other networks. WSNs composed of set of nodes that collect and transmit information about their environment. They have different constraints such as computational power, storage capacity, energy and etc. Of course the...
Wireless sensor networks (WSNs) have received more and more attention on the object tracking system, but the performance of active routing is low. In this paper,we present an novel energy efficient dynamic target tracking (EE-DTT) protocol for wireless sensor network, EE-DTT has three obvious features: firstly, it improves virtual grid ideas to divide each cluster into MtimesN square area and select...
In this paper, we propose an efficient routing algorithm for large scale cluster-based wireless sensor networks. The technique uses two routing levels. In the first level (intra-cluster), cluster members send data directly to their cluster head. In the second level (inter-cluster), the cluster heads use ant colony optimization (ACO) algorithm, which is a biologically inspired paradigm for optimization...
In wireless sensor networks (WSN), nodes are randomly deployed. Most of all protocols in WSN are designed for its random deployment. Projective geometry can be used for the fixed-geometrical deployment of wireless sensor nodes. This strategy can be used for deploying nodes in smart houses, hotels, offices, underground mines etc. For environmental monitoring on large geographical area random deployment...
We propose a novel distributed cross-layer optimization approach for cognitive radio wireless networks. A cognitive radio is a wireless device that is capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance the performance of both the system and potentially the whole network. Given the lack of a centralized intelligence to...
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