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Due to wireless and decentralized nature, multi-hop wireless networks are attractive for variety of applications. These properties also pose significant challenges to their developers and so require new types of algorithms. In cases where traditional wired networks usually rely on some kind of centralized entity, in multihop wireless networks nodes have to cooperate in a distributed and self organizing...
A wireless sensor network (WSN) is a set of nodes communicating through wireless links to observe a given phenomenon. Once sensors are deployed they are considered autonomous. Their lifetime is limited by the lifetime of their batteries. Currently the mobility of sensor nodes poses the new challenges. Given the constraints of mobility and energy consumption, WSNs require the implementation of new...
In sensor network applications, data gathering mechanisms, which are based on multi-hop forwarding can be expensive in terms of energy. This limitation reduces the lifetime of the network and challenges the use of sensor networks for applications that demand a predefined operational lifetime. To avoid this problem, the benefits of using mobile gateway to prolong sensor life-time have been explored...
Energy consumption and the overhead of rerouting frequency are important concern in the routing algorithm design for Wireless Sensor Networks(WSN) with the Mobile Sink, this paper proposes a data aggregation algorithm based on grid and adaptive genetic algorithm for WSN with a mobile sink.AGA is applied to find out the optimal route of MA aggregating data, the entire area of a WSN is evenly partitioned...
Clustering is an efficient and important method to facilitate energy conservation. Aiming to alleviate the high overheads of migrating management information in the re-clustering process of a clustering algorithm, an energy efficient, Complete Graph-based Clustering Algorithm (CGCA) is proposed in a densely deployed sensor network. CGCA divides the network into a few complete graphs, each complete...
This correspondence describes an efficient Bayesian framework for localization of moving terminals (MTs) in wideband wireless networks. In a previous paper, the authors have presented a grid-based technique, based on a hidden Markov model, that used the power delay profiles of the received signals to track the MT position. This grid-based Bayesian method has proved its efficacy in reducing localization...
Expected growth in use and implementation of wireless sensor networks (WSNs) in different environments and for different applications creates new security challenges. In WSNs, a malicious node may initiate incorrect path information, change the contents of data packets, and even hijack one or more genuine network nodes. As the network reliability completely depends on individual nodespsila presence...
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