A Framework for Secure and Survivable Wireless Sensor Networks

Wireless sensor networks increasingly become viable solutions to many challenging problems and will successively be deployed in many areas in the future. A wireless sensor network (WSN) is vulnerable to security attacks due to the insecure communication channels, limited computational and communication capabilities and unattended nature of sensor node devices, limited energy resources and memory. Security and survivability of these systems are receiving increasing attention, particularly critical infrastructure protection. So we need to design a framework that provide both security and survivability for WSNs. To meet this goals, we propose a framework for secure and survivable WSNs and we present a key management scheme as a case study to prevent the sensor networks being compromised by an adversary. This paper also considers survivability strategies for the sensor network against a variety of threats that can lead to the failure of the base station, which represents a central point of failure.key management scheme, security, survivability, WSN

Distributed Energy Efficient Cluster Formation for Wireless Sensor Networks

In large scale wireless sensor networksclustering is often used for improving energyefficiency and achieving scalable performance. In theclustered environment, data gathered by the nodes istransmitted to the base station through cluster-heads(CHs). As the nodes will communicate data overshorter distances in such an environment, the energyspent in the network is likely to be substantiallylower compared to when every sensor communicatesdirectly to the base station. The essential operationin sensor node clustering is to select a set of clusterheadsfrom the set of nodes in the network, and thencluster the remaining nodes with these heads. In thispaper, we propose a distributed energy efficientcluster formation (DEECF) algorithm for wirelesssensor networks. The cluster-head selectionalgorithm of DEECF is extended the LEACH’sstochastic cluster-head selection algorithm byconsidering the additional parameters, the residualenergy of the node relative to the residual energy ofthe network. We also compare our DEECF withLEACH in terms of network lifetime. The simulationresults demonstrate that DEECF can achieve highenergy efficiency and prolong network lifetime

A Framework for Secure and Survivable Wireless Sensor Networks

Wireless sensor networks increasingly become viable solutions tomany challenging problems and will successively be deployed in many areas inthe future. A wireless sensor network (WSN) is vulnerable to security attacksdue to the insecure communication channels, limited computational andcommunication capabilities and unattended nature of sensor node devices,limited energy resources and memory. Security and survivability of thesesystems are receiving increasing attention, particularly critical infrastructureprotection. So we need to design a framework that provide both security andsurvivability for WSNs. To meet this goals, we propose a framework for secureand survivable WSNs and we present a key management scheme as a case studyto prevent the sensor networks being compromised by an adversary. This paperalso considers survivability strategies for the sensor network against a variety ofthreats that can lead to the failure of the base station, which represents a centralpoint of failure