An ad-hoc network of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system. Information is generated in certain nodes and needs to reach a set of designated gateway nodes. Each node may adjust its power within a certain range that determines

An ad-hoc network of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system. Information is generated in certain nodes and needs to reach some designated gateway node. Each node may adjust its power within a certain range that determines the set

Abstract — Balancing energy consumption and prolonging network lifetime are open challenges in Wireless Sensor Networks. In this paper, we design a novel load balanced routing protocol to maximize lifetime of Wireless Sensor Networks (WSNs). In order to balance the energy consumption among sensor

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sink routes that maximize network lifetime. Our contribution expands further by defining the first heuristics for controlled sink movements that are fully distributed and localized. Our Greedy Maximum Residual Energy (GMRE) heuristic moves the sink from its current location to a new site as if drawn

A key challenge in Wireless Sensor Networks (WSNs) is that of extending the lifetime of these networks while maintaining certain coverage goals. Existing work has studied scheduling sensors into a sleep-sense cycle based on simple greedy criteria or by using centralized optimization techniques. We

In this paper, we propose a new method utilizing mobile sensor nodes to prolong WSN lifetime while maintaining a large sensing area. We formulate this problem as a problem in finding the best positions for mobile sensor nodes to maximize the integral of the sensing area for the remaining lifetime

Wireless sensor nodes can be deployed on a battlefield and organize themselves in a large-scale ad-hoc network. Traditional routing protocols do not take into account that a node contains only a limited energy supply. Optimal routing tries to maximize the duration over which the sensing task can

One of the limitations of wireless sensor nodes is their inherent limited energy resource. Besides maximizing the lifetime of the sensor node, it is preferable to distribute the energy dissipated throughout the wireless sensor network in order to minimize maintenance and maximize overall system

Abstract — We study transmission schemes for lifetime max-imization in wireless sensor networks. Specifically we consider the network where all the sensors observe uncorrelated signals and forward the quantized observations to a common fusion center. We demonstrate how the minimum node lifetime