The objective of the work is to improve the mechanism for selecting trust nodes which will participate in the key generation process for secured group communication in a distributed environment like MANET. The selecti...
详细信息
ISBN:
(纸本)9781479943630
The objective of the work is to improve the mechanism for selecting trust nodes which will participate in the key generation process for secured group communication in a distributed environment like MANET. The selection is proposed in two stages;the first phase adopts clustering technique to identify trust worthy nodes across the network and the second phase makes use of the backtracking approach in N queen's problem to narrow down the list of trustworthy nodes and to ensure that the nodes are distributed across the entire network. This distribution of nodes aids in effective distributed key generation through secret key sharing protocol. The effectiveness of the proposed scheme is analyzed w.r.t scalability and efficiency and compared with a Gittin's index based distributed node selection for secure communication. Simulation results obtained using NS2 simulator reveal the effectiveness of the proposed work as stated.
It is well-known that localization in Wireless Sensor Networks (WSNs) is costly. However, after deploying and localizing the sensors, sensors may be moved from their original location by the depredation of the enemy o...
详细信息
ISBN:
(纸本)9781479959679
It is well-known that localization in Wireless Sensor Networks (WSNs) is costly. However, after deploying and localizing the sensors, sensors may be moved from their original location by the depredation of the enemy or natural phenomena. In such cases, moved sensors return the inconsistent information with their incorrect location to sink or spread the incorrect location to the network resulted in arising problem with geographic protocols or applications. In this paper, we propose a distributed node-connectivity-based scheme to detect moved nodes. The simulation results show that our scheme has extremely low communication overhead and high detection rate especially in large scale node movement scenarios.
Network coverage is one of the most decisive factors for determining the efficiency of a WSN. In this paper, we focus on how to schedule mobile sensors in order to cope with coverage hole issues in a hybrid WSN contai...
详细信息
Network coverage is one of the most decisive factors for determining the efficiency of a WSN. In this paper, we focus on how to schedule mobile sensors in order to cope with coverage hole issues in a hybrid WSN containing both static and mobile sensors. To this end, we introduce a new metric, namely to maximise the minimum remaining energy of all moved sensors since the more energy remains, the longer the network can operate. Based on this metric, we propose an efficient coverage healing algorithm that always determines an optimal location for each mobile sensor in order to heal all coverage holes, after all mobile sensors locations and coverage holes are located. When the target area is too big, we present a scalable area-based algorithm which returns a near optimal solution. Furthermore, we also present a lightweight-distributed scheduling strategy for mobile sensors in case of small sensor failures.
In this paper we present a fault detection strategy for wireless sensor networks. The strategy is based on modeling a sensor node by Takagi-Sugeno-Kang (TSK) fuzzy inference system (FIS), where a sensor measurement of...
详细信息
In this paper we present a fault detection strategy for wireless sensor networks. The strategy is based on modeling a sensor node by Takagi-Sugeno-Kang (TSK) fuzzy inference system (FIS), where a sensor measurement of a node is approximated by a function of the sensor measurements of the neighboring nodes. We also model a node by recurrent TSK-FIS (RFIS), where the sensor measurement of the node is approximated as function of real measurements of the neighboring nodes and the previously approximated value of the node itself. Temporary errors in sensor measurements and/or communication are overcome by redundancy of data gathering. A node which has developed a faulty sensor is not completely discarded because it is useful for relaying the information among the other nodes. Each node has its own fuzzy model that is trained with input of neighboring sensors' measurements and an output of its actual measurement. A sensor is declared faulty if the difference between the outcome of the fuzzy model and the actual sensor measurement is greater than the prescribed amount depending on the physical quantity being measured. Simulations are performed using the fuzzy logic toolbox of Matlab. We also give a comparison of obtained results to those from a feed-forward artificial neural network, recurrent neural network and the median [1] of measured values of the neighboring nodes. (C) 2012 Elsevier B.V. All rights reserved.
In recent years, the home network has focused on service diversity and the intelligent enhancement of devices for providing user-centric services. Recent studies dealing with home network systems aggregate the sensor ...
详细信息
In recent years, the home network has focused on service diversity and the intelligent enhancement of devices for providing user-centric services. Recent studies dealing with home network systems aggregate the sensor data and manage various devices for reasoning the adaptive services. However, home network systems, especially intelligent devices, are difficult to implement due to the high setup cost and the problems with interconnection among other devices in a home domain. Therefore, we consider the intelligent implementation of light switch present in whole spaces. We propose a LED Smart switch with light-weight middleware which provides location-aware service and pattern-based service prediction. The proposed switch with an embedded sensor manages active and passive events according to the sensor data analysis and the service reasoning. Furthermore, the LED smart switch locates the user and interconnects among other switches over a network connection. The smart switch using a LED display provides simple information service, such as weather forecast, stock information, and the light status, using icons and digitalized voices. To evaluate the efficiency of our switch, we implemented testbed, in a home and an office. Our switch reduces the service response time by up to 12% for our experiment(1).
This paper proposes an energy-aware distributed topology control (EDTC) algorithm for coverage-time optimization unique to clustering-based heterogeneous sensor networks. The coverage-time is defined as the time until...
详细信息
ISBN:
(纸本)9780780393912
This paper proposes an energy-aware distributed topology control (EDTC) algorithm for coverage-time optimization unique to clustering-based heterogeneous sensor networks. The coverage-time is defined as the time until one of cluster heads (CHs) runs out of energy. CHs which are operated by EDTC move virtual picket nodes, indicators that determine the boundaries of cluster regions, for the load-balanced regulation of cluster regions in a distributed manner. Regulation of cluster regions leads the load-balanced energy consumption of CH which is in the region for coverage-time maximization. Through a performance evaluation of EDTC, we show that our algorithm for clustering-based heterogeneous sensor networks achieves desired properties.
暂无评论