Sensor networks are composed of large numbers of sensors that are equipped with a processor, memory, wireless communication capabilities, sensing capabilities and a power source (battery) on board. While in most exist...
详细信息
ISBN:
(纸本)9780769535579
Sensor networks are composed of large numbers of sensors that are equipped with a processor, memory, wireless communication capabilities, sensing capabilities and a power source (battery) on board. While in most existing sensor networks, sensors are static, some modem applications involve sensors that are mobile. Most existing localization algorithms were designed to work well either in networks of static sensors or networks in which all sensors are mobile. However, these existing sensor nodes localization schemes assume a benign environment, where all sensor nodes are supposed to provide correct reference information. When the sensor networks are deployed in a hostile environment, where sensor nodes can be compromised, such an assumption does not hold anymore. In this paper, we propose an new WSN localization algorithms, which based on the entropy function. It is different from the existing localization algorithms, which is an improvement algorithm. In many complex environment, such as pressure field, temperature field and magnetic field etc, we can use this localization scheme to localize sensor nodes, and results show that its performance is well.
This paper presents a novel range-free immune to radio range difference (IRRD) geo-localization algorithm in wireless networks. The algorithm does not require the traditional assumption of anchor (location aware) node...
详细信息
ISBN:
(纸本)9781479974986
This paper presents a novel range-free immune to radio range difference (IRRD) geo-localization algorithm in wireless networks. The algorithm does not require the traditional assumption of anchor (location aware) nodes that have the same communication range as it works with anchor nodes having homogeneous and/or heterogeneous communication ranges. It is rang-free - it utilizes node connectivity to estimate the position of unknown (location unaware) nodes using two or more anchor nodes. The algorithm works in two steps: in the first step, the True Intersection Points (TIPs) forming the vertices of the smallest communication overlap polygon (SCOP) of the anchor nodes are found. In the second step, it estimates the position of the unknown node at the center of the SCOP which is formed from these TIPs. The problem is first geometrically and mathematically modeled, then new localization approach that does not assume anchor nodes have the same radio range is proposed.
in many applications of wireless sensor networks, location is very important information. Conventional location information comes from manual setting or GPS device. However, manual location setting requires huge cost ...
详细信息
ISBN:
(纸本)9781424416622
in many applications of wireless sensor networks, location is very important information. Conventional location information comes from manual setting or GPS device. However, manual location setting requires huge cost of human time, and GPS location setting requires expensive device cost and large device size. Furthermore, GPS can not operate in indoor environment. Both approaches are not applicable to localization task of wireless sensor networks. In this paper, an accurate and efficient localization algorithm based on multidimensional scaling (MDS) is proposed in hierarchical network environment. Through localized computation of multidimensional scaling within a cluster, the computation overhead can be distributed to each cluster. On the other hand, MDS-based localization approach requires the estimation of multihop distance. Through restricting estimation of multihop distances within a cluster, the proposed localization algorithm achieves better accuracy and can operate in non-convex network environment. Experimental results reveal that the proposed HMDS localization algorithm outperforms MDSMAP algorithm in terms of accuracy.
The underwater sensor network localization algorithm is one of the very important steps in the underwater sensor network initialization process. Due to the deployment of environmental constraints, the underwater senso...
详细信息
ISBN:
(纸本)9781467347143
The underwater sensor network localization algorithm is one of the very important steps in the underwater sensor network initialization process. Due to the deployment of environmental constraints, the underwater sensor node can only be indirectly localized by calculation. Based on the traditional Ad Hoc network localization algorithm, this paper discusses an improved sensor network localization algorithm suitable for the underwater environment.
Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algor...
详细信息
ISBN:
(纸本)9781457720727
Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algorithm and Mass Spring Optimization-based (MSO) positioning algorithm. Moreover, for different ranging error, network connectivity and anchor node density, MDS-MAP, MSO, MDS-MAP(P) and MDS-MS four localization algorithms were simulated and compared. The simulation results show that MDS-MS-based algorithm possesses strong robustness and high positioning precision, and is fit for localization in sparse network topology and irregular network topology.
Most of localization algorithms in wireless sensor networks need the location Information of reference nodes to locate the unknown nodes. When the location information is tampered by the attacks or errors, the accurac...
详细信息
ISBN:
(纸本)9781424421077
Most of localization algorithms in wireless sensor networks need the location Information of reference nodes to locate the unknown nodes. When the location information is tampered by the attacks or errors, the accuracy of these algorithms will degrade badly. An improved existing typical APIT algorithm -AVNRP (APIT based on Von Neumann Rejection Principle), is proposed in this paper. The experiment results demonstrate that AVNRP has better robustness than original algorithm.
Node localization is of significant importance for supporting many critical applications in wireless sensor networks. However, traditional DV-Hop localization algorithm and its variants still cannot provide sufficient...
详细信息
ISBN:
(纸本)9781467397971
Node localization is of significant importance for supporting many critical applications in wireless sensor networks. However, traditional DV-Hop localization algorithm and its variants still cannot provide sufficient localization accuracy. To ensure the accuracy of localization, this paper proposes an improved DV-Hop localization algorithm. Under this localization algorithm, we first employ distortion function to select the beacon nodes that can estimate average hop distance, and then adopt two-dimensional hyperbolic function instead of the classic trilateration/least square method to determine the locations of unknown nodes, which are very close to their actual locations. Simulations are conducted to validate the accuracy of our proposed localization algorithm in wireless sensor networks. Remarkably, the average localization error of our proposed localization algorithm is lower than those of DVHop algorithm and its improved algorithm, under both the uniform and non-uniform node distributions.
Ultra-Wideband technology is regarded by many as one of the future key technologies in communications and positioning. In this paper a TDOA/RSS hybrid positioning algorithm is described for accurate underground mine l...
详细信息
ISBN:
(纸本)9783642203695
Ultra-Wideband technology is regarded by many as one of the future key technologies in communications and positioning. In this paper a TDOA/RSS hybrid positioning algorithm is described for accurate underground mine localization of a sensor in a network of known beacons. The sensor measures the range to the beacons using an Ultra-Wideband (UWB) signal and uses statistical inference to correct for the error due to multipath and NLOS in underground mine. It shows that a TDOA/RSS algorithm can be used to improved positioning accuracy over beacon measurement. Simulation results show perfect performance with UWB ranging and TDOA/RSS hybrid localization algorithm.
To improve the accuracy of CC2431-based Zigbee locating system in the indoor environment, a localization algorithm is proposed. Multipath propagation and Corrected multi path fading coefficient is investigated for the...
详细信息
ISBN:
(纸本)9781457715846
To improve the accuracy of CC2431-based Zigbee locating system in the indoor environment, a localization algorithm is proposed. Multipath propagation and Corrected multi path fading coefficient is investigated for the relationship of received signal strength (RSS) and distance. Window Mean Exponentially Weighted Moving Average (WMEWMA) is adopted to smooth the signal propagation exponent (SSPE) and averaged RSSI is used to soften fluctuations. We also incorporate preprocess methods to minimize the effect of multipath propagation, such as arranging reference nodes' position, calibrate RSSI value for location engine in CC2431, lower the output power level and shut down irrelevant wireless nodes. Experimental results show that the precision of the indoor location system is improved and the proposed algorithm is stable. Combining preprocess methods and SSPE successfully reduce the influences of unpredictable multipath propagation when indoor localization system is working.
In this paper, a new triangle centroid localization algorithm for wireless sensor networks based on received signal strength indicator (RSSI) was demonstrated in great detail, and was simulated using MATLAB, and was c...
详细信息
ISBN:
(纸本)9783037856529
In this paper, a new triangle centroid localization algorithm for wireless sensor networks based on received signal strength indicator (RSSI) was demonstrated in great detail, and was simulated using MATLAB, and was compared with the original algorithm. Finally, wireless localization system based on CC2430/31 was set up in JAR development environment. Through hardware testing and comparison, The impact on the localization accuracy is illustrated about the signal transmission loss, beacon node density and outside interference. The superiority of this new algorithm is verified.
暂无评论