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Keywords: Wireless sensor networks Energy hole problem Multi-objective optimization problem NP hard a b s t r a c t In a wireless sensor network (WSN), the unbalanced distribution of communication loads often causes the problem of energy hole, which means the energy of the nodes in the hole region will be exhausted sooner than the nodes in other regions.(More)
— In this paper, we focus on the problem of designing an energy efficient MAC protocol for wireless sensor networks and propose a novel scheme, named as TEEM (Traffic aware, Energy Efficient MAC). Inspired by S-MAC protocol, probably the most well-known sensor MAC scheme for energy efficiency, the proposed TEEM is also based on the concept of 'listen/sleep(More)
— The basic operation of Delay Tolerant Mobile Sensor Network (DTMSN) is for pervasive data gathering in networks with intermittent connectivity, where traditional data gathering methods can not be applied. In this paper, an efficient Mobility Prediction-based Adaptive Data gathering protocol (MPAD) based on the random waypoint mobility model tailored for(More)
spilling and mining accidents) often result in tremendous cost to our society. Previously, wireless sensor networks (WSNs) have been proposed and deployed to provide information for decision making in post-disaster relief operations. The existing WSN solutions for post-disaster operations normally assume that the deployed sensor network can tolerate the(More)
—Data gathering is a major function of many applications in wireless sensor networks (WSNs). The most important issue in designing a data gathering algorithm is how to save energy of sensor nodes while meeting the requirement of applications/users such as sensing area coverage. In this paper, we propose a novel hierarchical clustering protocol for(More)
—The Delay Tolerant Mobile Sensor Network (DTMSN) is a new type of sensor network for pervasive information gathering. Although similar to conventional sensor networks in hardware components, DTMSN owns some unique characteristics such as sensor mobility, intermittent connectivity, etc. Therefore, traditional data gathering methods can not be applied to(More)